Abstract: An example photographic feedback method, comprising, inputting a query image, a camera setting, a location, a temporal indicia and an environmental condition, detecting an object within the query image, projecting the location of the object, classifying the environmental condition at the location of the object, querying features of the query image of the object at the environmental condition of the projected location of the object, determining a closest image to the query image for the object at the environmental condition of the projected location of the object having a highly rated value via a cloud database and sending an updated location and at least one updated camera setting for an updated image.

Abstract: A method of partial frame perception, comprising receiving a bottom portion of an inverted image, detecting traffic areas of interest in the bottom portion of the inverted image, streaming the detected traffic areas of interest to a perception processor, receiving a top portion of the inverted image, detecting stationary areas of interest in the top portion of the inverted image and streaming the detected stationary areas of interest to the perception processor.

Abstract: A system to avoid obstacles, having an infrared emitter emitting an infrared pulse, an infrared receiver aligned with the infrared emitter so as to receive a reflection of the infrared pulse, a timer coupled to the infrared emitter and infrared receiver, the timer controlling a length of time the infrared emitter emits the infrared pulse and an exposure duration of the infrared receiver, the timer simultaneously initiates the emitting of the infrared pulse and an initiation of the exposure duration of the infrared receiver, and a controller coupled to the timer, the infrared emitter and the infrared receiver to adjust the exposure duration of the infrared receiver to determine a distance of an object reflecting the emitted infrared pulse.

Abstract: A method of depth estimation utilizing heterogeneous cameras, comprising, homogenizing a first camera image and a second camera image based on a first camera calibration dataset and a second camera calibration dataset respectively, wherein the first camera image and second camera image are distortion corrected and are zoom compensated, determining an initial image pair rectification transformation matrix of the homogenized first camera image and the homogenized second camera image, determining a delta image pair rectification transformation matrix based on the initial image pair rectification transformation matrix, determining, a final image pair rectification transformation matrix based on the initial image pair rectification transformation matrix and the delta image pair rectification transformation matrix resulting in a final rectified image pair and disparity mapping the final rectified image pair based on a depth net regression.

Abstract: A method of focusing dual cameras including receiving a fixed focus image from a fixed focus camera module, receiving an auto focus image from an auto focus camera module, calibrating a lens distortion of the auto focus camera module, calibrating a geometric relation of the auto focus camera module and the fixed focus camera module, calculating a depth of focus difference between the fixed focus image and the auto focus image, estimating an auto focus position based on the depth of focus difference and setting the auto focus position based on the estimation.

Abstract: A method of depth estimation utilizing heterogeneous cameras, comprising, homogenizing a first camera image and a second camera image based on a first camera calibration dataset and a second camera calibration dataset respectively, wherein the first camera image and second camera image are distortion corrected and are zoom compensated, determining an initial image pair rectification transformation matrix of the homogenized first camera image and the homogenized second camera image, determining a delta image pair rectification transformation matrix based on the initial image pair rectification transformation matrix, determining a final image pair rectification transformation matrix based on the initial image pair rectification transformation matrix and the delta image pair rectification transformation matrix resulting in a final rectified image pair and disparity mapping the final rectified image pair based on a depth net regression.

Abstract: A method of partial frame perception, comprising receiving a bottom portion of an inverted image, detecting traffic areas of interest in the bottom portion of the inverted image, streaming the detected traffic areas of interest to a perception processor, receiving a top portion of the inverted image, detecting stationary areas of interest in the top portion of the inverted image and streaming the detected stationary areas of interest to the perception processor.

Abstract: A method of distant on-road object detection, comprising, capturing an initial frame of a roadway lane in a direction of travel, detecting lane edges in the initial frame, capturing a subsequent frame of the roadway lane, cropping the subsequent frame based on the detected lane edges of the initial frame resulting in an image patch, detecting an image patch object within the image patch, down-sampling the subsequent frame, detecting a down-sampled object within the down-sampled subsequent frame and merging the detections within the image patch and the detections within the down-sampled subsequent frame.

Abstract: A method of distant on-road object detection, comprising, capturing an initial frame of a roadway lane in a direction of travel, detecting lane edges in the initial frame, capturing a subsequent frame of the roadway lane, cropping the subsequent frame based on the detected lane edges of the initial frame resulting in an image patch, detecting an image patch object within the image patch, down-sampling the subsequent frame, detecting a down-sampled object within the down-sampled subsequent frame and merging the detections within the image patch and the detections within the down-sampled subsequent frame.

Abstract: A method of detecting a distance, comprising emitting an optical pulse, receiving at a first detector a reflected optical pulse, from a first exposure start time to a first exposure finish time, generating a first detector signal, receiving at an n-th detector the reflected optical pulse, from an n-th exposure start time to an n-th exposure finish time, generating an n-th detector signal, wherein the first exposure start time begins before the n-th exposure start time and the first exposure finish time ends before the n-th exposure finish time and the first exposure duration partially overlaps the n-th exposure duration and determining the distance of an object based on the first detector signal and the n-th detector signal.

Abstract: A method of ultra-low rate video encoding, including capturing a frame within a video stream, capturing a global position of the frame, capturing a heading of the frame, linking the global position and the heading to the frame, determining a foreground of the frame based on the global position of the frame and the heading of the frame, determining an at least one region of interest within the foreground, analyzing the at least one region of interest, removing a background from the frame based on the global position and the heading, wherein the background is complementary to the foreground and encoding the foreground, the global position, the heading and the at least one region of interest.

Abstract: A method for communicating from a mobile platform includes arranging a plurality of regions in a communication screen on a first mobile platform. Each one of the plurality of regions in the communication screen is populated with communication data. The communication data includes at least one or more of text data, image data, and video data. The communication screen is sent from the first mobile platform to a second mobile platform. A display of the communication screen on the second mobile platform appears substantially identical to a display of the communication screen on the first mobile platform.

Abstract: A system to avoid obstacles, having an infrared emitter emitting an infrared pulse, an infrared receiver aligned with the infrared emitter so as to receive a reflection of the infrared pulse, a timer coupled to the infrared emitter and infrared receiver, the timer controlling a length of time the infrared emitter emits the infrared pulse and an exposure duration of the infrared receiver, the timer simultaneously initiates the emitting of the infrared pulse and an initiation of the exposure duration of the infrared receiver, and a controller coupled to the timer, the infrared emitter and the infrared receiver to adjust the exposure duration of the infrared receiver to determine a distance of an object reflecting the emitted infrared pulse.

Abstract: A method of ultra-low rate video encoding, including capturing a frame within a video stream, capturing a global position of the frame, capturing a heading of the frame, linking the global position and the heading to the frame, determining a foreground of the frame based on the global position of the frame and the heading of the frame, determining an at least one region of interest within the foreground, analyzing the at least one region of interest, removing a background from the frame based on the global position and the heading, wherein the background is complementary to the foreground and encoding the foreground, the global position, the heading and the at least one region of interest.

Abstract: A method of focusing dual cameras including receiving a fixed focus image from a fixed focus camera module, receiving an auto focus image from an auto focus camera module, calibrating a lens distortion of the auto focus camera module, calibrating a geometric relation of the auto focus camera module and the fixed focus camera module, calculating a depth of focus difference between the fixed focus image and the auto focus image, estimating an auto focus position based on the depth of focus difference and setting the auto focus position based on the estimation.

Abstract: A method of detecting a distance, comprising emitting an optical pulse, receiving at a first detector a reflected optical pulse, from a first exposure start time to a first exposure finish time, generating a first detector signal, receiving at an n-th detector the reflected optical pulse, from an n-th exposure start time to an n-th exposure finish time, generating an n-th detector signal, wherein the first exposure start time begins before the n-th exposure start time and the first exposure finish time ends before the n-th exposure finish time and the first exposure duration partially overlaps the n-th exposure duration and determining the distance of an object based on the first detector signal and the n-th detector signal.

Abstract: A method for generating a control signal to control an information technology device includes the following steps: (1) capturing, using an image sensor, a current control image of a light source of a remote controller positioned within a field of view of the image sensor; (2) identifying, within the current control image, a current location of light emitted from the light source; (3) determining movement between (a) the current location of the light emitted from the light source and (b) a previous location of the light emitted from the light source determined from a previously captured image; (4) generating a movement control signal based upon the movement; and (5) sending the movement control signal to the information technology device. The method is executed, for example, by a movement control module of an information technology device input system.

Abstract: An imaging system includes a primary imager and plurality of 3A-control sensors. The primary imager has a first field of view and includes a primary image sensor and a primary imaging lens with a first optical axis. The primary image sensor has a primary pixel array and control circuitry communicatively coupled thereto. The plurality of 3A-control sensors includes at least one of a peripheral imager and a 3A-control sensor. The peripheral imager, if included, has a second field of view including (i) at least part of the first field of view and (ii) a phase-difference auto-focus (PDAF) sensor and a peripheral imaging lens, the PDAF sensor being separate from the primary image sensor. The 3A-control sensor, if included, is separate from the primary pixel array and communicatively connected to the control circuitry to provide one of auto-white balance and exposure control for the primary pixel array.

Abstract: A mobile computing device includes a first video camera on a first side of the mobile computing device producing a first camera video stream. A second video camera is on a second side of the mobile computing device producing a second camera video stream. A video processor is coupled to the first video camera and the second video camera to receive the first camera video stream and the second camera video stream, respectively. The video processor is coupled to merge the first camera video stream and the second camera video stream to generate a merged video stream. The video processor includes a network interface coupled to upload the merged video stream to a server in real-time using an Internet wireless network. The server broadcasts the merged video stream to a plurality of receivers in real-time.

Abstract: An imaging system with on-chip phase-detection includes an image sensor with symmetric multi-pixel phase-difference detectors. Each symmetric multi-pixel phase-difference detector includes (a) a plurality of pixels forming an array and each having a respective color filter thereon, each color filter having a transmission spectrum and (b) a microlens at least partially above each of the plurality of pixels and having an optical axis intersecting the array. The array, by virtue of each transmission spectrum, has reflection symmetry with respect to both (a) a first plane that includes the optical axis and (b) a second plane that is orthogonal to the first plane. The imaging system includes a phase-detection row pair, which includes a plurality of symmetric multi-pixel phase-difference detectors in a pair of adjacent pixel rows and a pair, and an analogous phase-detection column pair.