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 calibration of a dual camera system, including, providing a chart of a plurality of circular rings and at least one disk, imaging the chart with a first camera to provide a first chart image and a second camera to provide a second chart image, performing edge detection of the first and second chart image on the plurality of circular rings and the at least one disk, determining the relative position of the plurality of circular rings to the at least one disk, matching the relative positions of the plurality of circular rings of the first chart image and the second chart image and aligning the first camera and the second camera based on the matching of the first chart image to the second chart image.

Abstract: A method of calibration of a dual camera system, including, providing a chart of a plurality of circular rings and at least one disk, imaging the chart with a first camera to provide a first chart image and a second camera to provide a second chart image, performing edge detection of the first and second chart image on the plurality of circular rings and the at least one disk, determining the relative position of the plurality of circular rings to the at least one disk, matching the relative positions of the plurality of circular rings of the first chart image and the second chart image and aligning the first camera and the second camera based on the matching of the first chart image to the second chart image.

Abstract: A method of high precision object location in a parking lot including capturing via an entry stereo camera a template image and an entry video of a vehicle entering a parking lot, measuring a distance versus time of the vehicle entering the parking lot based on the entry video, line scanning via at least one LIDAR an outline versus time of the vehicle entering the parking lot, constructing a scanned image based on the measured distance versus time and the outline versus time and forming a three dimensional construct of the vehicle based on the template image and the scanned image.

Abstract: A three camera alignment system, having a first camera module having a first fixed zoom, a second camera module having a second fixed zoom coupled to the first camera module, wherein the second camera module is calibrated to the first camera module and a third camera module having a third fixed zoom coupled to at least one of the first camera module and the second camera module and wherein the third camera module is aligned to the calibrated first camera module and second camera module based on block matching along epipolar lines.

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 instance segmentation, comprising, defining a bounding box, depth mapping the bounding box, sorting the depth map, estimating stability due to noise of the sorted depth map, detecting low frequency jumps of the sorted depth map based on the estimated stability, detecting high frequency jumps of the sorted depth map, comparing the detected low frequency jumps and the detected high frequency jumps, detecting at least one of a largest object and a closest object based on the comparison and pixel masking the at least one of the largest object and the closest object.

Abstract: A method of parking lot tracking including receiving a plurality of camera images from a plurality of cameras attached to a vehicle in motion, stitching the plurality of camera images to simulate a surround view of the vehicle, recognizing at least one potential parking space within the surround view of the vehicle, estimating a motion parameter by camera motion estimation of the plurality of cameras and tracking the at least one potential parking space based on the motion parameter.

Abstract: A method of stitching panoramic optical images around a vehicle having, receiving a plurality of optical images from a plurality of image sensors mounted on the vehicle of a plurality of objects surrounding the vehicle, overlapping optical images of the plurality of objects surrounding the vehicle, identifying seams between the plurality of objects surrounding the vehicle within the plurality of optical images, receiving a plurality of radar images from a plurality of radar sensors mounted on the vehicle indicating at least one direction and at least one distance of at least one of the plurality objects surrounding the vehicle, linking the plurality of optical images of the plurality of objects surrounding the its vehicle to the plurality of radar images and stitching the plurality of optical images based on the plurality of radar images.

Abstract: A method of hybrid data labeling for machine learning, including receiving multiple unlabeled objects forming an unlabeled data set, pre-labeling the unlabeled data set by a machine learning system to output a pending label data pool, bifurcating the pending label data pool by the machine learning system into high and low confidence sets, dispatching the high confidence set to a machine labeler, dispatching the low confidence set to a human labeler, merging the label sets to return a pre-review label data pool, determining a difference between the pending label data pool and the pre-review label data pool, review labeling the data objects, if the determined difference of the data objects is greater than a predefined error threshold and storing the data objects to a reviewed pool if the determined difference of the data objects is less than and equal to the predefined error threshold.

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: An infrared face authentication system and method, having an infrared lamp, a camera having at least infrared responsive pixels proximate to the infrared lamp and a processor connected to the infrared lamp and camera, wherein the infrared lamp and camera are responsive to the processor, wherein the processor receives a facial image from the camera illuminated by the infrared lamp and determines whether the facial image is comprised of epidermis and if the facial image is comprised of epidermis whether the facial image matches an enrolled facial image and if the facial image matches the enrolled facial image an authentication is output.

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 measuring lighting condition using dual cameras, having capturing a reference image, estimating a first minimum exposure target value, capturing a first plurality of minimum exposure value images, determining a first overall minimum exposure value, estimating a first maximum exposure target value, capturing a first plurality of maximum exposure value images, determining a first overall maximum exposure value of the first plurality of associated maximum exposure values and estimating a first dynamic exposure range as encompassing a first range having the first overall minimum exposure value as a first lower bound and the first overall maximum exposure value as a first upper bound.

Abstract: A method of calibration of a dual camera system, including, providing a chart of a plurality of circular rings and at least one disk, imaging the chart with a first camera to provide a first chart image and a second camera to provide a second chart image, performing edge detection of the first and second chart image on the plurality of circular rings and the at least one disk, determining the relative position of the plurality of circular rings to the at least one disk, matching the relative positions of the plurality of circular rings of the first chart image and the second chart image and aligning the first camera and the second camera based on the matching of the first chart image to the second chart image.

Abstract: A nano-metallic-planar-apex optical detector, comprising a semiconductor optical detector and a nano array mask defining a plurality of polygonal apertures connected to the optical detector, wherein the semiconductor optical detector detects near-field light focused b the nano array.

Abstract: A method of real-time depth mapping in a dual camera system, including, receiving an auto focus image, rectifying the auto focus image, receiving a plenoptic image having lens that cover 2×2 pixels, extracting four plenoptic sub-images, averaging and rectifying the plenoptic sub-images, block matching the rectified auto focus image and the rectified plenoptic sub-images along epipolar lines, block matching the rectified plenoptic sub-images along a vertical and a horizontal direction, determining a composite block matching error of the plenoptic block match, determining a plenoptic disparity map of the plenoptic sub-images based on the composite block matching error, converting the plenoptic disparity map to a plenoptic depth map, converting the plenoptic depth map to an initial stereo disparity map, searching for a guided disparity map based on the initial stereo disparity map and the epipolar block match and converting the guided disparity map to a guided depth map.

Abstract: A polarization-independent liquid crystal micro-lens array, comprising, an optically transparent, dielectric planar panel, an optically transparent upper planar electrode deposited upon the planar panel top surface and bottom surface, a top substrate positioned adjacent to the planar panel top surface, a top pattern electrode deposited on the top substrate internal surface, a top liquid crystal layer disposed between the planar panel top surface and the top substrate internal surface, the top liquid crystal layer having a first polarization, a bottom substrate positioned adjacent to the planar panel bottom surface, a bottom pattern electrode deposited on the bottom substrate internal surface, a bottom liquid crystal layer disposed between the planar panel bottom surface and the bottom substrate internal surface, the bottom liquid crystal layer having a second polarization orthogonal to the first polarization.