Abstract:
In general, techniques are described that facilitate processing of a depth map image in mobile devices. A mobile device comprising a depth camera, a camera and a processor may be configured to perform various aspects of the techniques. The depth camera may be configured to capture a depth map image of a scene. The camera may include a linear polarization unit configured to linearly polarize light entering into the camera. The camera may be configured to rotate the linearly polarization unit during capture of the scene to generate a sequence of linearly polarized images of the scene having different polarization orientations. The processor may be configured to perform image registration with respect to the sequence of linearly polarized images to generate a sequence of aligned linearly polarized images, and generate an enhanced depth map image based on the depth map image and the sequence of aligned linearly polarized images.
Abstract:
Systems and methods for controlling structured light laser systems are disclosed. One aspect is a structured light system. The system includes a memory device configured to store a depth map. The system further includes an image projecting device including a laser system configured to project codewords. The system further includes a receiver device including a sensor, the receiver device configured to sense the projected codewords reflected from an object. The system further includes a processing circuit configured to retrieve a portion of the depth map and calculate expected codewords from the depth map. The system further includes a feedback system configured to control the output power of the laser system based on the sensed codewords and the expected codewords.
Abstract:
System and methods for performing motion sensitive high dynamic range (HDR) image processing. A saturation analysis circuit is configured to receive a set of image data corresponding to portions of a set of image frames having different exposures time from a lowest exposure time to a highest exposure time, and select image data from a frame that does not exceed the saturation threshold value. A motion detection circuit may be configured to determine whether the image data is associated with movement, by comparing image data from pairs of frames of adjacent exposure times, and changing the selection to a lower exposure time frame if movement is detected. By selecting which exposure time is used based upon movement in the image frame, ghosting and blurring in HDR images containing movement can be reduced.
Abstract:
Systems and methods for controlling structured light laser systems are disclosed. One aspect is a structured light system. The system includes a memory device configured to store a depth map. The system further includes an image projecting device including a laser system configured to project codewords. The system further includes a receiver device including a sensor, the receiver device configured to sense the projected codewords reflected from an object. The system further includes a processing circuit configured to retrieve a portion of the depth map and calculate expected codewords from the depth map. The system further includes a feedback system configured to control the output power of the laser system based on the sensed codewords and the expected codewords.
Abstract:
Exemplary embodiments are directed to configurable demodulation of image data produced by an image sensor. In some aspects, a method includes receiving information indicating a configuration of the image sensor. In some aspects, the information may indicate a configuration of sensor elements and/or corresponding color filters for the sensor elements. A modulation function may then be generated based on the information. In some aspects, the method also includes demodulating the image data based on the generated modulation function to determine chrominance and luminance components of the image data, and generating the second image based on the determined chrominance and luminance components.
Abstract:
Techniques are disclosed for depth map generation in a structured light system where an optical transmitter is tilted relative to an optical receiver. The optical transmitter has a transmitter optical axis around which structured light spreads, and the optical receiver has a receiver optical axis around which a reflection of the structured light can be captured. The transmitter optical axis and the receiver optical axis intersect one another. A processing circuit compensates for the angle in the tilt in the reflected pattern to generate the depth map.
Abstract:
A structured light three-dimensional (3D) depth map based on content filtering is disclosed. In a particular embodiment, a method includes receiving, at a receiver device, image data that corresponds to a structured light image. The method further includes processing the image data to decode depth information based on a pattern of projected coded light. The depth information corresponds to a depth map. The method also includes performing one or more filtering operations on the image data. An output of the one or more filtering operations includes filtered image data. The method further includes performing a comparison of the depth information to the filtered image data and modifying the depth information based on the comparison to generate a modified depth map.
Abstract:
Systems and method for generating depth maps using active sensing technology, for scenes with moving objects, is disclosed. One aspect provides for a method that includes estimating areas in adjacent frames that correspond to a moving object by generating a probability map for each received frame, the probability map comprising a probability value at each pixel. The method also includes computing a convex temporal average map using a plurality of the reflected structured light frames including at least the prior frame received at time t−1, the received frame received at time t, and the next frame received at time t+1, the value at each pixel of the convex temporal average map weighted and normalized by the probability map at each pixel at each time. The method also includes determining the codewords at each pixel in the convex temporal average map, and generating a depth map from the determined codewords.
Abstract:
Methods, devices, and computer program products for multi-frame termporal de-noising using image alignment are describe. In one aspect, a method of capturing an image using a multi-frame temporal de-noising is described. The method includes capturing a plurality of frames and aligning the captured plurality of frames with each other. The method further includes determining a subset of frames of the captured plurality of frames, the subset determined based upon a focus quality of each frame of the plurality of frames. Finally, the method includes combining the subset of frames into a single image using a motion filter to reduce blurriness and ghosting.
Abstract:
Systems and methods of triggering an event based on meeting a certain depth criteria in an image. One innovation of a method includes a identifying at least one object in a field of view of an imaging device, the imaging device configured to capture at least one image of the field of view, determining a threshold depth level, measuring a depth of the at least one object within the field of view with respect to the imaging device, comparing the measured depth of the at least one object to the threshold depth level, and capturing an image of the object when the depth of the object within the field of view exceeds the threshold depth level.