Abstract:
An electronic device for generating a corrected depth map is described. The electronic device includes a processor. The processor is configured to obtain a first depth map. The first depth map includes first depth information of a first portion of a scene sampled by the depth sensor at a first sampling. The processor is also configured to obtain a second depth map. The second depth map includes second depth information of a second portion of the scene sampled by the depth sensor at a second sampling. The processor is additionally configured to obtain displacement information indicative of a displacement of the depth sensor between the first sampling and the second sampling. The processor is also configured to generate a corrected depth map by correcting erroneous depth information based on the first depth information, the second depth information, and the displacement information.
Abstract:
Systems and methods for correcting errors in a depth map generated by a structured light system are disclosed. In one aspect, a method includes receiving valid and invalid codewords, the valid spatial codewords included in a codebook. The method includes detecting the invalid codeword. The method includes retrieving a set of candidate valid codewords a lowest Hamming distance between the invalid codeword and the valid codewords in the codebook. The method includes estimating a median depth of neighboring locations of the invalid codeword. The method includes associating a depth with each candidate codeword and selecting the candidate with an associated depth closest to the depth estimate. The method includes assigning the depth associated with the selected candidate codeword to the location of the invalid codeword.
Abstract:
Systems, apparatus, and methods for generating a fused depth map from one or more individual depth maps, wherein the fused depth map is configured to provide robust depth estimation for points within the depth map. The methods, apparatus, or systems may comprise components that identify a field of view (FOV) of an imaging device configured to capture an image of the FOV and select a first depth sensing method. The system or method may sense a depth of the FOV with respect to the imaging device using the first selected depth sensing method and generate a first depth map of the FOV based on the sensed depth of the first selected depth sensing method. The system or method may also identify a region of one or more points of the first depth map having one or more inaccurate depth measurements and determine if additional depth sensing is needed.
Abstract:
A method includes identifying one or more codewords of a bit sequence that fail to satisfy at least one codeword constraint. The method also includes removing the one or more codewords from the bit sequence to generate a punctured bit sequence. The method includes, in response to determining that the punctured bit sequence is symmetric, generating a hermitian symmetric codebook primitive based at least in part on the punctured bit sequence, where the hermitian symmetric codebook primitive is useable to form a diffractive optical element (DOE) of a structured light depth sensing system.
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:
A method includes identifying one or more codewords of a bit sequence that fail to satisfy at least one codeword constraint. The method also includes removing the one or more codewords from the bit sequence to generate a punctured bit sequence. The method further includes determining whether the punctured bit sequence is symmetric. The method includes, in response to determining that the punctured bit sequence is symmetric, generating a hermitian symmetric codebook primitive based at least in part on the punctured bit sequence, where the hermitian symmetric codebook primitive is useable to form a diffractive optical element (DOE) of a structured light depth sensing system.
Abstract:
Described are methods and apparatus for adjusting images of a stereoscopic image pair. The methods and apparatus may capture a first and second image with first and second imaging sensors. The two imaging sensors have intrinsic and extrinsic parameters. A normalized focal distance of a reference imaging sensor may also be determined based on intrinsic and extrinsic parameters. A calibration matrix is then adjusted based on the normalized focal distance. The calibration matrix may be applied to an image captured by a image sensor.
Abstract:
A method operational on a transmitter device is provided for projecting a composite code mask. A composite code mask on a tangible medium is obtained, where the composite code mask includes a code layer combined with a carrier layer. The code layer may include uniquely identifiable spatially-coded codewords defined by a plurality of symbols. The carrier layer may be independently ascertainable and distinct from the code layer and includes a plurality of reference objects that are robust to distortion upon projection. At least one of the code layer and carrier layer may be pre-shaped by a synthetic point spread function prior to projection. At least a portion of the composite code mask is projected, by the transmitter device, onto a target object to help a receiver ascertain depth information for the target object with a single projection of the composite code mask.
Abstract:
A method and device is provided that compensates for different reflectivity/absorption coefficients of objects in a scene/object when performing active depth sensing using structured light. A receiver sensor captures an image of a scene onto which a code mask is projected. One or more parameters are ascertained from the captured image. Then a light source power for a projecting light source is dynamically adjusted according to the one or more parameters to improve decoding of the code mask in a subsequently captured image. Depth information for the scene may then be ascertained based on the captured image based on the code mask. In one example, the light source power is fixed at a particular illumination while an exposure time for the receiver sensor is adjusted. In another example, an exposure time for the receiver sensor is maintained/kept at a fixed value while the light source power is adjusted.
Abstract:
A device for image processing includes an optical receiver configured to receive a reflection of a coded pattern from an object to generate an image, and processing circuitry. The processing circuitry is configured to determine an estimated position of zero order light in the image, determine a spatial region of the coded pattern that corresponds to a position of the zero order light in the coded pattern, map the spatial region to the estimated position of the zero order light in the image to generate a corrected image, and generate a depth map for the coded pattern based on the corrected image.