Abstract: An active alignment machine includes a base, a first pillar, a second pillar, a distribution module, a first alignment module, a second alignment module and a third alignment module. The first pillar has a first pillar top surface. The second pillar has a second pillar top surface. The first pillar top surface and the second pillar top surface cooperatively support plural assembling specifications. The distribution module is installed on the base and arranged between the first pillar and the second pillar. The first alignment module, the second alignment module and third alignment module are replaceable to be assembled with or dissembled from the first pillar top surface and the second pillar top surface. The first alignment module, the second alignment module and third alignment module work with the distribution module to perform the active alignment on a first-type product, a second-type product and a third-type product, respectively.

Abstract: A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a water supply valve for regulating a flow of water into the chamber, and a camera assembly mounted within the cabinet in view of the chamber. A controller is configured to determine that the water supply valve is open to permit the flow of water into the chamber, identify an anticipated fog condition within the chamber based at least in part on the water supply valve being open, obtaining one or more images of the chamber using the camera assembly, analyzing the one or more images of the chamber to determine an actual fog condition in the chamber, and implementing a responsive action if the actual fog condition is different than the anticipated fog condition, e.g., providing a user notification.

Abstract: A depth measurement assembly (DMA) includes a pulsed illuminator assembly, a depth camera assembly, and a controller. The pulsed illuminator assembly has a structured light projector that projects pulses of structured light at a pulse rate into a local area. The depth camera assembly captures images data of an object in the local area illuminated with the pulses of structured light. An exposure interval of the depth camera assembly is pulsed and synchronized to the pulses projected by the pulsed illuminator assembly. The controller controls the pulsed illuminator assembly and the depth camera assembly so that they are synchronized. The controller also determine depth and/or tracking information of the object based on the captured image data. In some embodiments, the pulsed illuminator assembly have a plurality of structured light projectors that projects pulses of structured light at different times.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. A device may capture a first image of a target using a camera, wherein the camera is in a clean state, and wherein the target is in a line of sight of the camera. The device may apply an obstruction to a portion of a lens of the camera. The device may apply a camera cleaning system to the lens of the camera. The device may capture a post-clean image after applying the camera cleaning system. The device may determine a post-clean SSIM score based on comparing the post clean image to the first image. The device may compare the post-clean SSIM score to a validation threshold. The device may determine a validation state of the camera cleaning system based on the comparison.

Abstract: Technique for performing camera calibration on a vehicle is disclosed. A method of performing camera calibration includes emitting, by a laser emitter located on a vehicle and pointed towards a road, a first laser pulse group towards a first location on a road and a second laser pulse group towards a second location on the road, where each laser pulse group includes one or more laser spots. For each laser pulse group: a first set of distances are calculated from a location of a laser receiver to the one or more laser spots, and a second set of distances are determined from an image obtained from a camera, where the second set of distances are from a location of the camera to the one or more laser spots. The method also includes determining two camera calibration parameters of the camera by solving two equations.

Abstract: There is provided a system and method of re-projecting and combining sensor data of a scene from a plurality of sensors for visualization. The method including: receiving the sensor data from the plurality of sensors; re-projecting the sensor data from each of the sensors into a new viewpoint; localizing each of the re-projected sensor data; combining the localized re-projected sensor data into a combined image; and outputting the combined image. In a particular case, the receiving and re-projecting can be performed locally at each of the sensors.

Abstract: Crosstalk mitigation among cameras in neighboring monitored workcells is achieved by computationally defining a noninterference scheme that respects the independent monitoring and operation of each workcell. The scheme may involve communication between adjacent cells to adjudicate non-interfering camera operation or system-wide mapping of interference risks and mitigation thereof. Mitigation strategies can involve time-division and/or frequency-division multiplexing.

Abstract: The present disclosure relates to methods and systems that facilitate determination of a pose of a vehicle based on various combinations of map data and sensor data received from light detection and ranging (LIDAR) devices and/or camera devices. An example method includes receiving point cloud data from a (LIDAR) device and transforming the point cloud data to provide a top-down image. The method also includes comparing the top-down image to a reference image and determining, based on the comparison, a yaw error. An alternative method includes receiving camera image data from a camera and transforming the camera image data to provide a top-down image. The method also includes comparing the top-down image to a reference image and determining, based on the comparison, a yaw error.

Abstract: To obtain imaging device capable of reporting more reliably an occurrence of trouble. The imaging device of the present disclosure includes an imaging sensor configured to generate image data, a diagnosis circuit configured to perform diagnosis processing for the imaging sensor and an output circuit configured to output a flag signal corresponding to a result of the diagnosis processing, wherein the flag signal is set to a ground level signal in response to the result of the diagnosis processing indicating an error.

Abstract: In one embodiment, a wearable apparatus is provided which may include a holographic film disposed on the wearable apparatus, an eye tracking device including an image sensor and an illuminator, and one or more processors. The processors may be configured to activate the illuminator to illuminate the holographic film and capture, with the image sensor, an image of at least a portion of the holographic film while the holographic film is illuminated. The processors may also be configured to determine a characteristic of the holographic film based on the image and determine, based on the characteristic, a location or an orientation of the image sensor relative to the holographic film. The processors may further be configured to change, based on the location or the orientation of the image sensor relative to the holographic film, at least one calibration parameter of the image sensor.

Abstract: A computer-implemented method of localizing an image of a person captured using a camera is provided, the person in the field of view of a camera, comprising: obtaining the image captured using a camera, the image comprising the person within a bounding box; determining at least one slant value associated with the person within the bounding box; determining head image coordinates and feet image coordinates for the person using the at least one slant value; and localizing the person by projecting the head image coordinates to a head plane and the feet image coordinates for the person to a ground plane.

Abstract: A computer-implemented method for focal length validation may include receiving, by a computing system, initial image data for an optical target from a camera. The method may also include determining a distortion parameter associated with the camera, based on the initial image data. The method may also include receiving, by the computing system, a first image of the optical target, wherein the first image is associated with a first position of the camera. The method may also include receiving, by the computing system, a second image of the optical target, wherein the second image is associated with a second position of the camera. The method may also include determining an estimated displacement between the first position of the camera and the second position of the camera based on the first image and the second image. The method may further include determining a focal length based on the estimated displacement and a measured displacement of the camera between the first position and the second position.

Abstract: An imaging device includes pixel sensors. A drive-sense circuit is configured to generating a sensed signal corresponding to one of pixel sensors. The drive-sense circuit includes: a first conversion circuit configured to convert, a receive signal component of a sensor signal corresponding to the one of the pixel sensors into the sensed signal, wherein the sensed signal indicates a change in a capacitance associated with the one of the pixel sensors; a second conversion circuit configured to generate, based on the sensed signal, a drive signal component of the sensor signal corresponding to the one of the pixel sensors. The drive-sense circuit is further configured to generate other sensed signals corresponding to other ones of the pixel sensors for the other ones of the pixel sensors. A graphics processing module is configured to generate image data based on the sensed signal and the other sensed signals.

Abstract: An electronic device and method for 3D modeling based on 2D warping is disclosed. The electronic device acquires a color image of a face of a user, depth information corresponding to the color image, and a point cloud of the face. A 3D mean-shape model of a reference 3D face is acquired, and rigid aligned with the point cloud. A 2D projection of the aligned 3D mean-shape model is generated. The 2D projection includes a set of landmark points associated with the aligned 3D mean-shape model. The 2D projection is warped such that the set of landmark points in the 2D projection is aligned with a corresponding set of feature points in the color image. A 3D correspondence between the aligned 3D mean-shape model and the point cloud is determined for a non-rigid alignment of the aligned 3D mean-shape model, based on the warped 2D projection and the depth information.

Abstract: An image signal processor and an image sensor including the same are disclosed. An image sensor includes a pixel array configured to convert received optical signals into electrical signals, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to perform deep learning-based image processing on the image data based on training data selected from among first training data and second training data based on a noise level of the image data.

Abstract: An improved method, system, and apparatus is provided to perform camera calibration, where cameras are mounted onto a moving conveyance apparatus to capture images of a multi-planar calibration target. The calibration process is optimized by reducing the number of images captured while simultaneously preserving overall information density.

Abstract: An imaging device includes an imaging unit that generates image data on the basis of a first power voltage, an image processing unit that performs image processing on the image data on the basis of a second power voltage, a reference voltage generating unit that generates a first reference voltage on the basis of the first power voltage, and a first flag generating unit that generates a first flag signal for the second power voltage on the basis of a comparison of the second power voltage and the first reference voltage and outputs the first flag signal.

Abstract: A method of characterizing an imaging device includes calibrating the imaging device by collecting readings for regular pixels and at least one sealed pixel of the imaging device over one or more periods of time for a sequence of integration time (T) and a plurality of number of lines (NOL) when no light enters the imaging device, obtaining a dark level (DL) by averaging the readings for the regular pixels over the respective period of time and the number of the regular pixels, and obtaining P by averaging the readings of the at least one sealed pixel over the respective period of time and the number of the at least one sealed pixel. A relation between DL and P is determined for each T and NOL using an equation: DL=A*P+Offset. A current value of DL is determined by using a current value of P and the equation.

Abstract: A mobile device for an authentication system that performs authentication to control an authentication target with code verification via near field wireless communication, includes: an acceleration sensor; a communication portion that performs the near field wireless communication with an antenna of the authentication target; a reception stop portion that stops reception operation of the communication portion; a fault detection portion that detects a failure in the acceleration sensor; and an operation change portion that prevents the reception stop portion from stopping the reception operation.

Abstract: A processor may process a video feed of a monitored area. The processing may include attempting to decrypt the video feed using a temporally-varying digital rights management key in a state corresponding to a time at which the encrypted video feed was received and encountering a decryption error during the attempting. The processing may include comparing the video feed with an output feed from a secondary sensor to determine that at least one object is indicated in the monitored area by the output feed and not visible in the video feed. The processor may indicate a problem with the video feed. For example, the processor may indicate that the encrypted video feed has been altered prior to the receiving of the encrypted video feed due to the decryption error and/or that the video camera is malfunctioning due to the at least one object being not visible in the video feed.

Abstract: An image recognition apparatus includes a processing circuit and a control circuit. The processing circuit receives a first image obtained by performing multiple-exposure image capturing of a first subject. The processing circuit uses the first image to calculate a recognition accuracy of the first subject. The control circuit changes a condition of the multiple-exposure image capturing in a case where the recognition accuracy is lower than a recognition accuracy threshold.

Abstract: A method for calibrating an image capturing sensor including at least one sensor camera using a time coded pattern target including: displaying the target on a flat screen display, displaying a pattern sequence on the display and capturing the pattern sequence by the at least one sensor camera as a sequence of a camera images, performing an association between pixels of the target and captured image points of the camera images for at least one fixed position of the display in space or respectively for at least two different positions of the display in space, performing the calibration through corresponding points, performing a gamma correction wherein a gamma curve of the display is captured and corrected in any position of the display and/or in addition to capturing the pattern sequence in any position of the display by the at least one sensor camera before displaying the target.

Abstract: An information processing apparatus simulates a measurable region of a sensor when the sensor is arranged in a measurement region to be measured, and the information processing apparatus includes: a generation unit that generates a measurement region map with environment information based on a three-dimensional model of the measurement region to be measured and the environment information that causes a change in a measurement result of the sensor; an execution unit that virtually arranges the sensor on the measurement region map with environment information generated by the generation unit, and simulates the measurable region of the sensor based on sensor information related to the measurable region of the sensor; and an output unit that outputs a result of simulation by the execution unit.

Abstract: A method and system for determining poses for camera calibration is presented. The system determines a range of pattern orientations for performing the camera calibration, and determines a surface region on a surface of an imaginary sphere, which represents possible pattern orientations for the calibration pattern. The system determines a plurality of poses for the calibration pattern to adopt. The plurality of poses may be defined by respective combinations of a plurality of respective locations within the camera field of view and a plurality of respective sets of pose angle values. Each set of pose angle values of the plurality of respective sets may be based on a respective surface point selected from within the surface region on the surface of the imaginary sphere. The system outputs a plurality of robot movement commands based on the plurality of poses that are determined.

Abstract: A method for correcting errors of a depth camera caused by the temperature includes: obtaining, by at least two depth cameras, a depth image of a current target, wherein two adjacent depth cameras of the at least two depth cameras have a common field of view; modeling a measurement error of the two adjacent depth cameras caused by a temperature change; and correcting the depth image using the modeled measurement error, wherein the corrected depth image has a minimum depth difference in the common field of view.

Abstract: Provided are an image layout size calculation apparatus, an image layout size calculation method, and an image layout size calculation program which are capable of outputting an image with a small blurriness degree. A blurriness value is calculated for each image area, and the smallest blurriness value is decided (step S24). Resolution of a printer that prints the image is read (step S25). A layout size in which the blurriness value is equal to or smaller than a second threshold value is calculated based on the number of pixels of the image, the decided blurriness value, and the resolution of the printer (step S26). By printing the image having a size equal to or smaller than the calculated layout size, the blurriness degree of the printed image is reduced.

Abstract: Methods and apparatus for aligning components of camera assemblies of one or more camera pairs, e.g., a stereoscopic camera pairs, are described. A camera calibration tool referred to as a camera bra is used. Each dome of the camera bra includes a test pattern, e.g., grid of points, with the domes being aligned and spaced apart by a predetermined amount. The bra is placed over the cameras of a camera pair, the grids are detected and displayed. The camera component positions are adjusted until the displayed images show the grids as being properly aligned. Because the grids on the calibration tool are properly aligned as a result of the manufacturing of the calibration tool, when the images are brought into alignment the cameras will be properly spaced and aligned at which point the calibration tool can be removed and the stereoscopic camera pair used to capture images of a scene.

Abstract: An electronic device for controlling a brightness of a light source and an operating method of the electronic device are provided. According to the electronic device and the operating method, an image including an ambient environment of a light source is captured, information of an exposure of the captured image is obtained, information about a brightness of the ambient environment of the light source is determined based on the information about the exposure, and a brightness of the light source is controlled based on the determined information about the brightness of the ambient environment.

Abstract: Creating a model calibrating spectral apparatus having an optical system that converts light to be measured into a spectrum, and a light-receiving sensor including a plurality of sensors that outputs signals, the sensors include sensors that output signals indicating respective energy amounts of a plurality of wavelength components. The model shows where a linear function of an indicator indicating a mechanical error in the spectral apparatus, expresses deviation of an indicator indicating spectral sensitivity of the sensor from the indicator indicating the reference spectral sensitivity of the sensor. The method comprises: a) acquiring reference spectral sensitivity; b) acquiring an indicator indicating the reference spectral sensitivity of the sensor acquired at a); and c) creating the model where the linear function of the mechanical error indicator expresses deviation of the spectral sensitivity indicator from the indicator indicating the reference spectral sensitivity of the sensor, acquired at b).

Abstract: An imaging apparatus including a light source that, in operation, emits pulsed light to a measurement target; a diffusion member that is disposed between the light source and the measurement target, and diffuses the pulsed light; an image sensor that includes at least one pixel, the at least one pixel including a photodiode and a charge accumulator that, in operation, accumulates signal charge from the photodiode; and a control circuit that, in operation, controls the image sensor. The control circuit causes the image sensor to start to accumulate the signal charge with the charge accumulator in a falling period of a returned pulsed light which is returned from the measurement target to the image sensor due to the emission of the pulsed light, the falling period being a period from start to end of a decrease of an intensity of the returned pulsed light.

Abstract: Systems and methods for calibrating an array camera are disclosed. Systems and methods for calibrating an array camera in accordance with embodiments of this invention include the capturing of an image of a test pattern with the array camera such that each imaging component in the array camera captures an image of the test pattern. The image of the test pattern captured by a reference imaging component is then used to derive calibration information for the reference component. A corrected image of the test pattern for the reference component is then generated from the calibration information and the image of the test pattern captured by the reference imaging component. The corrected image is then used with the images captured by each of the associate imaging components associated with the reference component to generate calibration information for the associate imaging components.

Abstract: Disclosed is a method and apparatus of illuminant estimation referencing characterized facial color features in a digital image. Example embodiments of automatic white balance of the digital image leveraging the illuminant estimation are illustrated.

Abstract: The present disclosure provides a technique to obtain a tilt state occurring between an image capturing unit and a print image having additional information embedded in it without using the visible image. In the technique, an image of a print image in which additional information having a specified frequency characteristic is embedded is captured using an image capturing unit to obtain captured image data. A frequency analysis is performed on partial image data corresponding to a specified area in the obtained captured image data, to obtain distance information on a distance between the specified area and the image capturing unit. Inclination information indicating a state of a relative inclination between the image capturing unit and the print image is obtained based on this distance.

Abstract: Adjusting camera settings based on a display, including identifying display settings of a display coupled to an information handling system, the display settings including a current color profile of the display; accessing a look-up table (LUT), the LUT identifying, for each color profile of a plurality of color profiles, camera settings parameters associated with a camera coupled to the information handling system; identifying, based on the LUT, one or more camera settings parameters associated with the current color profile of the display; applying the identified camera settings parameters to the camera settings at the camera; obtaining, from the camera, an image that is based on the applied camera settings that corresponds to the current color profile of the display; and providing the image for presentation at the display.

Abstract: A camera module aligning method includes the following steps. Firstly, a reference chart having plural chart characteristic points is provided. Then, a camera module is used to shoot the reference chart, and an installation position and an installation posture of the camera module are acquired according to an internal parameter matrix and an external parameter matrix. When the camera module shoots the reference chart and an image is formed on an imaging plane of the camera module, a relationship between at least one image characteristic point of the image and the corresponding chart characteristic point complies with a standard relationship. The standard relationship is defined by the internal parameter matrix and the external parameter matrix.

Abstract: A method of reducing false positives and identifying relevant true alerts in a video management system includes analyzing images to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is found, the video management system solicits from a user an indication of whether the pattern belongs to one of two or more predefined categories. The patterns indicating changes between subsequent images are saved for subsequent use. Subsequent images received from the video camera are analyzed to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is detected by the video management system, the video management system compares the pattern indicating changes between subsequent images to those previously categorized into one of the two or more predefined categories. Based on the comparison, the video management system may provide an alert to the user.

Abstract: An electronic device with a fingerprint sensing function and a fingerprint image processing method are provided. The electronic device includes a processor, a fingerprint sensor, and a temperature sensor. The fingerprint sensor is coupled to the processor. The fingerprint sensor is configured to obtain a current fingerprint image. The temperature sensor is coupled to the processor. The temperature sensor is configured to obtain current temperature information. The processor obtains current background noise according to the current temperature information, and removes the background noise from the current fingerprint image to generate a corrected fingerprint image.

Abstract: Calibrating the orientation of a camera mounted to a vehicle includes providing calibration pattern defining at least two horizontal lines and two vertical lines; acquiring an image of the calibration pattern by means of the camera, the image having a first axis and a second axis corresponding to a horizontal axis and a vertical axis, respectively; identifying the horizontal lines and the vertical lines within the image; determining a horizontal vanishing point from the representations of the horizontal lines; determining a vertical vanishing point from the representations of the vertical lines; calculating a roll angle from the location of the horizontal vanishing point based on the image, calculating a yaw angle from a first coordinate of the horizontal vanishing point measured along the first axis, and calculating a pitch angle from a second coordinate of the vertical vanishing point measured along the second axis.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system provides an identification of where collisions regularly occur.

Abstract: A device to test image-capturing abilities of photosensitive components includes a movable assembly and a fixing assembly. The movable assembly includes a first wireless transmission module. The fixing assembly comprises a second wireless transmission module. The second wireless transmission module is wirelessly connected to the first wireless transmission module avoiding wire entanglement or winding as the movable assembly is rotated. The first wireless transmission module receives image signals from a camera module and wirelessly sends the image signals to the second wireless transmission module.

Abstract: Provided is a calibration apparatus that performs calibration by using a captured image of a chart including a plurality of plane surfaces forming a predetermined angle ?. An imaging apparatus simultaneously images chart patterns depicted on each of the plane surfaces of the chart. In this instance, the chart pattern depicted on each of the plane surfaces of the chart is inversely projected in accordance with a distance from an imaging plane such that patterns in which feature points are uniformly distributed within the captured image are obtained.

Abstract: Described is system and method for determining a location of a client device. In one implementation, an unmanned aerial vehicle (UAV) receives an image of the UAV, obtained by the client device. The image is processed to determine a source area of the client device. As the UAV navigates toward the area, it scans the area for the client device and/or obtains additional information from the client device to aid in determining the location of the client device.

Abstract: A monocular vision six-dimensional measurement method for high-dynamic large-range arbitrary contouring error of a CNC machine tool of the present invention belongs to the field of dynamic error detection of machine tools, and relates to a six-dimensional measurement method for high-dynamic large-range arbitrary contouring error of a CNC machine tool using a monocular vision measurement technology with short-time stroboscopic illumination and a priori standard plate. The method designs a measurement fixture and a measurement system, and uses a monocular vision pose algorithm to improve both the visual measurable dimension and range of interpolated contour in combination with priori knowledge. In light of the principle of error distribution, a small field of view is used to enhance the measurement accuracy of the coded primitives in the images.

Abstract: An apparatus for aligning a lens module with an image sensor to form a camera module includes a chart holder, a positioning unit and a reflective elements holder assembly. In use, the chart holder holds a test chart having a region of interest (ROI), the positioning unit holds the lens module and the image sensor, and the reflective elements holder assembly holds multiple reflective elements between the chart holder and the positioning unit. A first optical path from the ROI is directed to a first position on the image sensor. Second optical paths from the ROI are reflected by the reflective elements to respective second positions on the image sensor, the second positions being spaced from the first position. The images captured by the image sensor (arising from the aforementioned optical paths) are analysed and the positioning unit aligns the lens module with the image sensor based on such analysis.

Abstract: A method of reducing purple fringing in images captured by a camera, comprises: acquiring a raw image of a scene with an image sensor of the camera, demosaicing the raw image, and applying an adjusted color correction matrix to the demosaiced raw image. The adjusted color correction matrix is deduced by calibrating the spectral response of the image sensor to a color rendition chart to which the color data of a purple fringe has been added, and furthermore the color correction matrix is adjusted such that the image sensor response for color values of the purple fringe is transformed into color values of a predetermined replacement color following application of the color correction matrix.

Abstract: A calibration device includes: a two-dimensional image conversion element having a plurality of pixels; and an optical system for forming an image-formation relationship between the two-dimensional image conversion element and a three-dimensional world coordinate space, the calibration device including a computer, the computer being configured to: acquire calibration data indicating a correspondence between two-dimensional pixel coordinates in the image conversion element and three-dimensional world coordinates in the world coordinate space; and calculate parameters of a camera model by fitting, to the acquired calibration data, the camera model representing two coordinate values of the two-dimensional pixel coordinates as functions of three coordinate values of the three-dimensional world coordinates, wherein the camera model represents the two coordinate values of the two-dimensional pixel coordinates by means of a linear sum of a plurality of two-dimensional vector functions having, as elements, the functi

Abstract: A method for estimating a plurality of camera, comprising using at least one processor executing a code for: extracting a plurality of image features of a plurality of landmarks from a plurality of images captured by at least one camera from at least one pose, the plurality of landmarks calibrated with respect to a certain coordinate system; identifying among the plurality of image features at least one image feature documented in at least some of the images; producing scale values of at least one common image feature by analyzing the at least some of the images; determining a plurality of estimated poses of the at least one camera with respect to the certain coordinate system by using the scale values in calculating a minimal re-projection error between the plurality of image features and a plurality of predicted image features; and outputting the plurality of estimated poses.

Abstract: Embodiments of this application disclose a method for determining camera pose information of a camera of a mobile terminal. The method includes: obtaining a first image, a second image, and a template image; performing feature point detection on a first feature point of the template image and a second feature point of the second image, to obtain a first homography; determining a first target homography according to a first optical flow feature point in the first image and a second optical flow feature point in the second image, and determining a second homography according to the first target homography and a second target homography; and performing complementary filtering processing on the first homography and the second homography, to obtain camera pose information of the camera. In the embodiments of this application, complementary filtering processing may be performed on two homographies obtained in a camera pose tracking process.

Abstract: In a system and a method for extrinsic calibration of an image capture apparatus of a vehicle, the vehicle includes a vehicle body and a movable part configured to rotate around a known rotation axis relative to the vehicle body. The system includes an image capture apparatus having an image capture device mounted on the vehicle body and configured to capture at least two images of the movable part, an identification unit configured to identify at least two image features in the images, a calculation unit configured to calculate a calculated direction of the rotation axis relative to the image capture device based on the image features, and a calibration unit configured to determine extrinsic parameters of the image capture apparatus based on the calculated direction of the rotation axis relative to the image capture device and the known parameters of the rotation axis relative to the vehicle.

Abstract: A depth measurement assembly (DMA) includes a pulsed illuminator assembly, a depth camera assembly, and a controller. The pulsed illuminator assembly has a structured light projector that projects pulses of structured light at a pulse rate into a local area. The depth camera assembly captures images data of an object in the local area illuminated with the pulses of structured light. An exposure interval of the depth camera assembly is pulsed and synchronized to the pulses projected by the pulsed illuminator assembly. The controller controls the pulsed illuminator assembly and the depth camera assembly so that they are synchronized. The controller also determine depth and/or tracking information of the object based on the captured image data. In some embodiments, the pulsed illuminator assembly have a plurality of structured light projectors that projects pulses of structured light at different times.