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Patent

Depth camera based on structured light and stereo vision

TLDR
In this article, a depth camera system uses a structured light illuminator and multiple sensors such as infrared light detectors, such as in a system which tracks the motion of a user in a field of view.
Abstract
A depth camera system uses a structured light illuminator and multiple sensors such as infrared light detectors, such as in a system which tracks the motion of a user in a field of view. One sensor can be optimized for shorter range detection while another sensor is optimized for longer range detection. The sensors can have a different baseline distance from the illuminator, as well as a different spatial resolution, exposure time and sensitivity. In one approach, depth values are obtained from each sensor by matching to the structured light pattern, and the depth values are merged to obtain a final depth map which is provided as an input to an application. The merging can involve unweighted averaging, weighted averaging, accuracy measures and/or confidence measures. In another approach, additional depth values which are included in the merging are obtained using stereoscopic matching among pixel data of the sensors.

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Citations
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Systems and Methods for Synthesizing Images from Image Data Captured by an Array Camera Using Restricted Depth of Field Depth Maps in which Depth Estimation Precision Varies

TL;DR: In this article, the authors describe a system for generating restricted depth of field depth maps from a reference viewpoint using a set of images captured from different viewpoints, where depth estimation precision is higher for pixels with depth estimates within the range of distances corresponding to the restricted depth-of-field and lower for pixels having depth estimates outside of the ranges of distances correspond to the restrictions.
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Apparatus and method for providing three dimensional media content

TL;DR: A system that incorporates teachings of the exemplary embodiments may include means for generating a disparity map based on a depth map, means for determining accuracy of pixels in the depth map where the determining means identifies the pixels as either accurate or inaccurate based on the confidence map and the disparity map as discussed by the authors.
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Using a three-dimensional environment model in gameplay

TL;DR: In this article, a mobile depth camera is used to capture a series of depth images as it is moved around and a dense 3D model of the environment is generated from this series.
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Human body pose estimation

TL;DR: In this article, a method for human body pose estimation using depth map images from a depth camera is described. But the method is not suitable for the estimation of human body joints.
References
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Journal ArticleDOI

A multiple-baseline stereo

TL;DR: It is shown that the SSSD-in-inverse-distance function exhibits a unique and clear minimum at the correct matching position, even when the underlying intensity patterns of the scene include ambiguities or repetitive patterns.
Patent

Apparatus and methods for determining the three-dimensional shape of an object using active illumination and relative blurring in two images due to defocus

TL;DR: In this article, a method and apparatus for mapping depth of an object in a preferred arrangement uses a projected light pattern to provide a selected texture to the object along the optical axis (24) of observation.
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3d geometric modeling and motion capture using both single and dual imaging

TL;DR: In this article, a bi-dimensional coded light pattern is projected on the object such that each of the identifiable feature types appears at most once on predefined sections of distinguishable epipolar lines.
Patent

3d geometric modeling and 3d video content creation

TL;DR: In this paper, a bi-dimensional coded light pattern is projected on the object such that each of the identifiable feature types appears at most once on predefined sections of distinguishable epipolar lines.
Patent

Vision system for an autonomous vehicle

TL;DR: In this article, a stereo vision system using a combination of cameras having > a wide baseline in order to detect obstacles that are relatively far away from the cameras and > a shorter baseline to detect obstacle that are closer to the cameras is presented.