Abstract: Methods, systems, and computer readable media for generating a three-dimensional reconstruction of an object with reduced distortion are described. In some aspects, a system includes at least two image sensors, at least two projectors, and a processor. Each image sensor is configured to capture one or more images of an object. Each projector is configured to illuminate the object with an associated optical pattern and from a different perspective. The processor is configured to perform the acts of receiving, from each image sensor, for each projector, images of the object illuminated with the associated optical pattern and generating, from the received images, a three-dimensional reconstruction of the object. The three-dimensional reconstruction has reduced distortion due to the received images of the object being generated when each projector illuminates the object with an associated optical pattern from the different perspective.

Abstract: The invention relates to an endoscopic device, in particular medical or industrial endoscopic device, wherein the endoscopic device comprises, as components, a light source, an optical fiber, a camera, and an endoscope comprising an optical element or a plurality of optical elements, and at least one optical element comprises an optical marking for verifying an identity of the optical element and/or of the endoscope such that the optical marking can be detected by the camera for verifying the identity and/or a configuration of the endoscopic device. The invention furthermore relates to a method for verifying an identity of a component of an endoscopic device, and a computer program product for evaluating an image acquisition of an optical marking of an optical element and for identifying an endoscope of an endoscopic device.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: A two-dimensional image of a vehicle occupant in a vehicle is collected. The collected two-dimensional image is input to a machine learning program trained to output one or more reference points of the vehicle occupant, each reference point being a landmark of the vehicle occupant. One or more reference points of the vehicle occupant in the two-dimensional image is output from the machine learning program. A location of the vehicle occupant in an interior of the vehicle is determined based on the one or more reference points. A vehicle component is actuated based on the determined location. For each of the one or more reference points, a similarity measure is determined between the reference point and a three-dimensional reference point, the similarity measure based on a distance between the reference point and the three-dimensional reference point.

Abstract: The technology relates to cargo vehicles. National, regional and/or local regulations set requirements for operating cargo vehicles, including how to distribute and secure cargo, and how often the cargo should be inspected during a trip. However, such regulations have been focused on traditional human-driven vehicles. Aspects of the technology address various issues involved with securement and inspection of cargo before a trip, as well as monitoring during the trip so that corrective action may be taken as warranted. For instance, imagery and other sensor information may be used to enable proper securement of cargo before starting a trip. Onboard sensors along the vehicle monitor the cargo and securement devices/systems during the trip to identify issues as they arise. Such information is used by the onboard autonomous driving system (or a human driver) to take corrective action depending on the nature of the issue.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: A detector (110) for determining at least one material property of at least one object (112) is proposed.

Abstract: The present disclosure relates to an imaging device having a night vision mode. The imaging device has a lens being capable of perform imaging according to received light and an infrared LED being capable of emitting infrared light as a light source for the lens in a night vision mode, both being controlled by a control circuit. The lens is allowed to perform imaging when the control circuit is turned on, and the lens is prohibited from performing imaging when the control circuit is turned off. The imaging device also has a switch and a baffle, the position of which triggers the switch to turn on and off the control circuit. The imaging device provides privacy protection and avoids the reduction of the lifespan of the infrared LED.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.

Abstract: A jig holds an imaging apparatus including a plurality of cameras with different optical axis orientations and a chart including a plurality of planes with different angles and changes the orientation of the imaging apparatus relative to the chart. A calibration apparatus obtains camera parameters of the imaging apparatus by sequentially acquiring captured images captured by adjacent cameras when these cameras have obtained predetermined fields-of-view relative to the chart and extracting images of feature points of chart patterns.

Abstract: The present invention provides a processing apparatus (10) including: a detection unit (11) that detects that a notification apparatus is operated; an acquisition unit (12) that acquires, when it is detected that the notification apparatus is operated, at least one of an image generated by a camera and a sound collected by a microphone; a decision unit (13) that decides whether at least one of the image and the sound satisfies a notification condition; and an output unit (14) that outputs, when it is decided that the notification condition is satisfied, notification information indicating that the notification apparatus is operated.

Abstract: A stereoscopic imaging platform includes a stereoscopic camera configured to record left and right images of a target site. A robotic arm is operatively connected to the stereoscopic camera, the robotic arm being adapted to selectively move the stereoscopic camera relative to the target. The stereoscopic camera includes a lens assembly having at least one lens and defining a working distance. The lens assembly has at least one focus motor adapted to move the at least one lens to selectively vary the working distance. A controller is adapted to selectively execute one or more automatic focusing modes for the stereoscopic camera. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The automatic focusing modes include a target locking mode. The target locking mode is adapted to maintain a focus of the at least one stereoscopic image while the robotic arm is moving the stereoscopic camera.

Abstract: A vehicular trailer assist system includes a camera disposed at a vehicle and viewing at least a portion of a trailer hitched to the vehicle. A control, responsive to processing of frames of image data captured by the camera and during a calibration maneuver by the vehicle, determines an initial trailer template of trailer hitched to the vehicle. During a turning portion of the calibration maneuver, a subset of frames of image data is stored, each stored frame of image data including the trailer at a different trailer angle relative to a longitudinal axis of the vehicle. The control, responsive to storing the subset of frames of image data, converts each stored frame of image data to an edge image and matches each edge image to the determined initial trailer template, and determines a location of a hitch ball of the vehicle.

Abstract: A stereoscopic imaging platform includes a stereoscopic camera configured to record left and right images of a target site. A robotic arm is operatively connected to the stereoscopic camera, the robotic arm being adapted to selectively move the stereoscopic camera relative to the target. The stereoscopic camera includes a lens assembly having at least one lens and defining a working distance. The lens assembly has at least one focus motor adapted to move the at least one lens to selectively vary the working distance. A controller is adapted to selectively execute one or more automatic focusing modes for the stereoscopic camera. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The automatic focusing modes include a disparity mode and/or a sharpness control mode which are adapted to at least partially rely on disparity feedback to change the working distance in order to achieve focus.

Abstract: A pilot may be more stressed during take-off or landing, which is not abnormal. Physiological data of the pilot may be received. Placing the physiological data in context of the current situation may be advantageous in detecting anomalous behaviors of the pilot. A system and method are described. The system and method receive a stream of images from a camera and detect whether the pilot is exhibiting anomalous behavior. The anomalous behavior is further put into context based on the flight state and various avionics information.

Abstract: A device for recognizing an obstacle of a vehicle includes a camera for acquiring an image, a detection device for extracting an object by applying a convolutional neural network to the image, a center calculation device for estimating a center point and a region outside the center point of the extracted object, an uncertainty determination device for determining whether the estimated center point and region outside the center point are uncertain, and a condition determination device for determining whether travel is possible based on the determined uncertainty.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.