Abstract: Systems, methods, and devices for super resolution and color motion artifact correction in a pulsed fluorescence imaging system are disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor to generate a plurality of exposure frames. The method includes detecting motion across two or more sequential exposure frames of the plurality of exposure frames, compensating for the detected motion, and combining the two or more sequential exposure frames to generate an image frame. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

Abstract: Provided are various devices, systems and methods for observing pumps and the like. Provided is an industrial endoscope including an imaging device, a flexible holding member configured to hold the imaging device, and one or a plurality of nozzles fixed to the holding member and which injects a fluid.

Abstract: A method of detecting degradation of a real tire of a wheel includes the steps of: acquiring at least one first three-dimensional object representative of the shape of the real tire by using an electronic appliance including at least one three-dimensional sensor, the first three-dimensional object being made up of a set of capture points; determining the position of the center point of the real tire from the set of capture points; registering the first three-dimensional object to obtain a second three-dimensional object; transforming the second three-dimensional object in order to obtain one or more two-dimensional objects; and analyzing the two-dimensional object(s) in order to detect degradation of the real tire.

Abstract: In some embodiments, a first output is received from a first prediction network at a second prediction network. The first prediction network generates the first output from a first input. Also, a second input is received at the second prediction network that describes the first input. The second prediction network analyzes the first output and the second input and generates a second output that classifies the first output in one of a set of classifications. The first output is output with the one of the set of classifications for the second output where the second output indicates whether the first output should be reviewed when the second output is classified in a first classification in the set of classifications or not reviewed when the second output is classified in a second classification in the set of classifications.

Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: An image pickup apparatus, image processing apparatus and corresponding program and method are disclosed. In one example, a second captured image acquired from another apparatus is aligned with a first captured image. Image stabilization is carried out in response to a positional relation between the captured images. For example, when overlapping between the captured images is equal to or smaller than an image stabilization limitation threshold value, the image stabilization is stopped or a correction range is limited for at least one of the captured images. When the amount of overlapping is larger than the image stabilization limitation threshold value, the image stabilization for both of the captured images is carried out without limitation. The captured images are aligned with each other by using the captured image with limited image stabilization, or both captured images where stabilization is carried out without limitation, thereby producing a panoramic image.

Abstract: Methods and systems for operating a moving platform to determine data associated with a target person or object are disclosed. In an example method to determine at least one of an object or an activity associated with the target, a first moving platform, configured with a first type of sensor, is caused to move to an area associated with the target. The target is located at the area. An attempt is made to determine, via the first moving platform and the first type of sensor, the at least one of the object or activity. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The at least one of the object or activity associated with the target is determined via the second moving platform and the second type of sensor.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block, determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode, obtaining a predicted value of a first signal component sampling point of the current block, and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: A surgical visualization system is disclosed. The surgical visualization system is configured to identify one or more structure(s) and/or determine one or more distances with respect to obscuring tissue and/or the identified structure(s). The surgical visualization system can facilitate avoidance of the identified structure(s) by a surgical device. The surgical visualization system can comprise a first emitter configured to emit a plurality of tissue-penetrating light waves and a second emitter configured to emit structured light onto the surface of tissue. The surgical visualization system can also include an image sensor configured to detect reflected visible light, tissue-penetrating light, and/or structured light. The surgical visualization system can convey information to one or more clinicians regarding the position of one or more hidden identified structures and/or provide one or more proximity indicators.

Abstract: The present application provides a light-field display apparatus. The apparatus includes: a display screen, the display screen including N display regions, each display region of the N display regions including M light-emitting points, and light-emitting points at a corresponding position of the N display regions being a light-emitting point group; driving circuits, configured to drive the light-emitting points to emit light; a lens group including at least one lens, the light-emitting points in the N display regions forming view zones corresponding one by one to the N display regions by the lens group, wherein light-emitting points belonging to a same light-emitting point group in the N display regions are driven by a same driving circuit, the N view zones are not overlapped with each other, and both N and M are positive integers greater than 1.

Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.

Abstract: A method for decoding a picture based on a cross-component linear model (CCLM) mode includes deriving neighboring luma reference samples of a luma block, deriving down-sampled neighboring luma reference samples, deriving a linear model parameter based on the down-sampled neighboring luma reference samples and the neighboring chroma reference samples, where the neighboring luma reference samples includes top neighboring luma reference samples, and left neighboring luma reference samples, and where when the top boundary of the luma block overlaps with a boundary of a coding tree unit (CTU), the number of the top neighboring luma reference samples used for deriving the down-sampled neighboring luma reference samples among the neighboring luma reference samples is less than that of the left neighboring luma reference samples used for deriving the down-sampled neighboring luma reference samples.

Abstract: Techniques are described for using an inter-intra-prediction block. A video coder may generate a first prediction block according to an intra-prediction mode and generate a second prediction block according to an inter-prediction mode. The video coder may weighted combine, such as based on the intra-prediction mode, the two prediction blocks to generate an inter-intra-prediction block (e.g., final prediction block). In some examples, an inter-intra candidate is identified in a list of candidate motion vector predictors, and an inter-intra-prediction block is used based on identification of the inter-intra candidate in the list of candidate motion vector predictors.

Abstract: An apparatus for determining a measure for a distortion change of a first view synthesized from a second view, caused by a modification of a depth map of the second view from a first state to a second state, is configured—starting from a current synthesis state of the first view corresponding to a synthesis from the second view having the depth map modified to the second state in an already processed portion of the depth map and having the depth map unmodified at the first state in a yet to be processed portion of the depth map—to compute a possible successor synthesis state corresponding to a synthesis of the first view from the second view having the depth map modified to the second state in an already processed portion plus a currently processed portion and having the depth map unmodified at the first state in the yet to be processed portion without the currently processed portion; and to determine a distortion change of a distortion of the current synthesis state of the first view relative to an undistort

Abstract: A distance measurement device includes an imaging optical system, an imaging unit, an emission unit, a derivation unit which performs a distance measurement to derive a distance to a subject based on a timing at which directional light is emitted by the emission unit and a timing at which reflected light is received by a light receiving unit, a shake correction unit which performs shake correction as correction of shake of the subject image caused by variation of an optical axis of the imaging optical system, and a control unit which performs control such that the shake correction unit does not perform shake correction or performs shake correction with a correction amount smaller than a normal correction amount determined in advance in a case of performing the distance measurement and performs shake correction with the normal correction amount in a case of not performing the distance measurement.

Abstract: Devices and a method are provided for providing feedback to a user. In one implementation, the method comprises obtaining a plurality of images from an image sensor. The image sensor is configured to be positioned for movement with the user's head. The method further comprises monitoring the images, and determining whether relative motion occurs between a first portion of a scene captured in the plurality of images and other portions of the scene captured in the plurality of images. If the first portion of the scene moves less than at least one other portion of the scene, the method comprises obtaining contextual information from the first portion of the scene. The method further comprises providing the feedback to the user based on at least part of the contextual information.

Abstract: A method includes receiving one or more panoramic image processing parameters from a remote terminal, controlling a carrier to rotate an image capturing device about a first axis of the carrier while causing the image capturing device to capture a plurality of images based at least in part on the one or more panoramic image processing parameters, and stabilizing the image capturing device against motions with respect to a second axis or a third axis of the carrier while the image capturing device is rotating about the first axis of the carrier. The image capturing device is coupled to an unmanned aerial vehicle (UAV) via the carrier.

Abstract: The present invention relates to an inter-layer prediction method and to an apparatus implementing the method. The method may comprise the steps of generating a first block constituted by the value obtained by up-sampling the reconstruction value of a reference block of a reference layer corresponding to the current block; generating a second block constituted by a prediction value derived from intra-prediction mode of the current block; and generating a prediction block of the current block by combining sample values of the first block and the second block. Thus, intra-prediction on the current layer can be performed using the intra-prediction mode information of another layer.

Abstract: An image-sensing device includes photoelectric elements for receiving incident light. The photoelectric elements are arranged into unit cells, and each of the unit cells includes a first, a second, a third and a fourth photoelectric element. The first, the second, the third and the fourth photoelectric elements in each of the unit cells are formed of pillar structures, and the first, the second, the third and the fourth photoelectric elements are different sizes. The first photoelectric element captures a first image in a first phase, the second photoelectric element captures a second image in a second phase, the third photoelectric element captures a third image in a third phase, and the fourth photoelectric element captures a fourth image in a fourth phase. The first phase, the second phase, the third phase, and the fourth phase are different.

Abstract: A vehicular camera includes a housing having a front housing portion and a rear housing portion mated together to form a cavity within the housing. A circuit board is attached at the front housing portion and has at least one front electrical connector in electrical connection with an imager. The rear housing portion has at least one rear electrical connector. With the rear housing portion mated with the front housing portion, the rear electrical connector electrically connects with the front electrical connector. The rear housing portion has a connector portion that is configured to electrically connect the rear electrical connector to a vehicle wire harness. The front electrical connector and the rear electrical connector cooperate to allow for misalignment of the electrical connectors in a direction parallel to the rear side of the circuit board when the rear housing portion is mated with the front housing portion.