Abstract: A depth image generation apparatus is disclosed including a light source for generating light to be emitted toward an object in order to solve an SNR problem caused by resolution degradation and an insufficient amount of received light, while not increasing a light-emitting amount when photographing a remote object; a first optical system for emitting a dot pattern at the object, the light generated by the light source; an image sensor for receiving light reflected from the object and converting the light into an electrical signal; an image processor for acquiring depth data through the electrical signal; and a control unit connected to the light source, the first optical system, the image sensor and the image processor, where the control unit controls the first optical system so as to scan the object by moving the dot pattern in a preset pattern.

Abstract: A method for automated calibration is provided. The method may include obtaining a plurality of interest points based on prior information regarding a device and image data of the device captured by a visual sensor. The method may include identifying at least a portion of the plurality of interest points from the image data of the device. The method may also include determining a transformation relationship between a first coordinate system and a second coordinate system based on information of at least a portion of the identified interest points in the first coordinate system and in the second coordinate system that is applied to the visual sensor or the image data of the device.

Abstract: Disclosed are an image processing method and apparatus, and an image processing device. According to the image processing method and apparatus, and the image processing device, an infrared binocular camera collects images formed when a measured object is illuminated by a speckle pattern projected by a projection assembly to obtain a first image collected by a first camera and a second image collected by a second camera; and three-dimensional data of the measured object is determined according to a pair of images constituted by the first image and the second image. By means of the method, three-dimensional data of a measured object can be relatively accurately obtained through measurement, thereby improving precision and accuracy of measurement, and also precision requirements for a projection assembly are low, so that costs can be lowered.

Abstract: An electronic device and a method for adjusting a color of image data by using an infrared sensor are provided. The electronic device includes a lens, an infrared filter, an image sensor, an infrared sensor and at least one processor operably coupled to the image sensor and the infrared sensor. The at least one processor receives image data that is based on external light passing through the lens and the infrared filter and arriving at the image sensor, from the image sensor, and identifies an intensity of infrared light included in the external light, at least based on sensor data of the infrared sensor, and in response to the identifying of the intensity of the infrared light, adjusts a color of at least portion of the image data at least based on the intensity of the infrared light.

Abstract: The present invention provides an electric pot comprising a first light source, a second light source, an image sensor and a processor. The first light source and the second light source respectively generates first light having a first wavelength and second light having a second wavelength. The first light generates a first light pattern on the surface of liquid, and the second light generates a second light pattern on the surface of solid in the liquid. The processor determines a liquid level of the liquid based on the first light pattern and determines a solid height of the solid based on the second light pattern.

Abstract: A video decoding method performed by a decoding apparatus according to the present disclosure includes deriving one of a plurality of cross-component linear model (CCLM) prediction mode as a CCLM prediction mode of the current chroma block, deriving a sample number of neighboring chroma samples of the current chroma block based on the CCLM prediction mode of the current chroma block, a size of the current chroma block, and a specific value; deriving the neighboring chroma samples of the sample number, calculating CCLM parameters based on the neighboring chroma samples and the down sampled neighboring luma samples, deriving prediction samples for the current chroma block based on the CCLM parameters and the down sampled luma samples and generating reconstructed samples for the current chroma block based on the prediction samples, wherein the specific value is derived as 2.

Abstract: A robotic system automatically aligns, and/or tests alignment of, a lens to a digital camera or other workpiece. The system includes an optical target, an intermediate lens and a plurality of collimators peripheral to the intermediate lens to accommodate a wide range of fields of view of the workpieces, without requiring changes in equipment hardware. When manufacturing or testing a workpiece with a relatively narrow field of view, the entire field of view of the workpiece can be filled with a view of the target through the intermediate lens, and the collimators need not be used. However, when manufacturing or testing a camera having a relatively large field of view, the intermediate lens is used to fill a central portion of the field of view with an image of the target, and the collimators are used to fill a remaining portion of the field of view with images of reticles.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry. The processing circuitry is configured to decode prediction information of a block in a current picture from a coded video bitstream. The prediction information indicates an affine model in an inter prediction mode. The processing circuitry is configured to determine motion vectors of control points of the block according to the affine model. The processing circuitry is configured to determine a motion vector of a sub-block of the block from the determined motion vectors of the control points, one of a width and a height of the sub-block being less than 4. Further, the processing circuitry is configured to reconstruct at least a sample of the sub-block according to the determined motion vector.

Abstract: A self-position estimation device includes: a position estimation unit. The position estimation unit is configured to estimate a self-position on the basis of image frames that have been captured at the same time in a constant period by imaging units, and estimate a self-position on the basis of image frames that have been captured at different times in the constant period by at least one of the imaging units.

Abstract: Stereoscopic system including a portal component, first sensor and first cable, second sensor and second cable, first display and second display. The portal component includes an axis, a first channel and second channel extending along the axis. The first sensor is secured within the first channel at a first angle with respect to the axis and directed inwardly toward a location. The first cable extends from the first sensor. The second sensor is secured within the second channel at a second angle with respect to the axis and directed inwardly toward the location. The first angle and second angle converge at the location to define a depth of perception. The second cable extends from the second sensor. The first display structure is disposed in proximity to a left aperture of an eyeframe, and the second display structure is disposed in proximity to a right aperture of the eyeframe.

Abstract: A system for making gradual adjustments to planograms may include at least one processor. The processor may be programmed to receive a first image of a shelf; analyze the first image to determine a first placement of products on the shelf; determine a planned first adjustment to the first placement of products; and provide first information configured to cause the planned first adjustment. The processor may then receive a second image of the shelf captured after the first information was provided; analyze the second image to determine a second placement of products on the shelf; determine a planned second adjustment to the second placement of products; and provide second information configured to cause the planned second adjustment to the determined second placement of products.

Abstract: An imaging device that reduces differences between a bird's eye image and an actually measured distance includes imaging cameras mounted on a ship to capture peripheral images of the ship and combines the peripheral images captured by the imaging cameras to create the bird's eye image as a composite image. The imaging device includes an auxiliary camera adjacent to at least one of the imaging cameras, and a distance calculator that calculates a distance in a lateral direction using the auxiliary camera and the at least one of the imaging cameras adjacent to the auxiliary camera.

Abstract: A 3D facial reconstruction system includes a main color range camera, a plurality of auxiliary color cameras, a processor and a memory. The main color range camera is arranged at a front angle of a reference user to capture a main color image and a main depth map of the reference user. The plurality of auxiliary color cameras are arranged at a plurality of side angles of the reference user to capture a plurality of auxiliary color images of the reference user. The processor executes instructions stored in the memory to generate a 3D front angle image according to the main color image and the main depth map, generate 3D side angle images according to the 3D front angle image and the plurality of auxiliary color images, and train an artificial neural network model according to a training image, the 3D front angle image and 3D side angle images.

Abstract: An image pickup apparatus that is capable of preventing hunching certainly at low cost and of switching between the day mode and the night mode at an optimal timing. An image sensor outputs an image signal depending on an optical image formed through an image pickup optical system. A mode setting unit sets a photographing mode for photographing using the image sensor from among a day mode and a night mode in which sensitivity for a wavelength range corresponding to infrared light is higher than that in the day mode. An obtaining unit obtains ratio information about the ratios of the infrared light and visible light based on the image signal in the night mode. A condition setting unit sets a determination condition that is used for switching the photographing mode to the day mode from the night mode based on the ratio information.

Abstract: Encoding an image using a non-encoding region of the image, a block-based encoding region of the image, and a pixel-based encoding region of the image.

Abstract: A sensor sphere may measure light and/or other properties of an environment from a multitude of angles and/or perspectives. A rendering system may obtain measurements that the sensor sphere generates as a result of measuring light in the environment from a common position and the multitude of angles and/or perspectives. The rendering system may receive image(s) that capture the environment from a first perspective, may determine a first set of the measurements that measure the lighting from the first perspective, may determine a second set of the measurements that measure the lighting from a different second perspective, may illuminate the environment from the second perspective by adjusting the lighting of the environment according to a difference between the second set of measurements and the first set of measurements, and may render the environment from the second perspective with the adjusted lighting.

Abstract: The present disclosure relates to encoding a decoding video employing texture coding. In particular, a texture region is identified within a video picture and a texture patch is determined for said region. Moreover, a set of parameters specifies luminance within the texture region (1001) by fitting the texture region samples to a two-dimensional polynomial function of the patch determined according to the set of parameters (1040); and/or motion within the texture region by fitting motion estimated between the texture region of the video picture and an adjacent picture to a two-dimensional polynomial The texture patch and the first set of parameters are then included into a bitstream which is output of the encoder and provided in this way to the decoder which reconstructs the texture based on the patch and the function applied to the patch.

Abstract: An example device for decoding video data includes a video decoder configured to decode one or more syntax elements at a region-tree level of a region-tree of a tree data structure for a coding tree block (CTB) of video data, the region-tree having one or more region-tree nodes including region-tree leaf and non-leaf nodes, each of the region-tree non-leaf nodes having at least four child region-tree nodes, decode one or more syntax elements at a prediction-tree level for each of the region-tree leaf nodes of one or more prediction trees of the tree data structure for the CTB, the prediction trees each having one or more prediction-tree leaf and non-leaf nodes, each of the prediction-tree non-leaf nodes having at least two child prediction-tree nodes, each of the prediction leaf nodes defining respective coding units (CUs), and decode video data for each of the CUs.

Abstract: A video coder may be configured to determine to use a decoder side motion vector refinement process, including bi-lateral template matching, based on whether or not weights used for bi-predicted prediction are equal or not. In one example, decoder side motion vector refinement may be disabled when weights used for bi-predicted prediction are not equal.

Abstract: An image processing device is described. The circuitry of the image processing device obtains an image that is generated on a basis of an incident light and a transfer function related to a conversion between the incident light and the image, and determines a cost function for prediction mode selection according to the transfer function. The cost function calculates a cost value based on a first parameter corresponding to a prediction residual code amount and a second parameter corresponding to a prediction mode code amount. The cost function is determined in a manner in favor of increasing the prediction residual code amount or decreasing the prediction mode code amount as a dynamic range of the transfer function increases. The circuitry determines a prediction mode for coding a coding unit of the image according to the determined cost function, and encodes the coding unit according to the determined prediction mode.