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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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Patent

Dimensioning system with multipath interference mitigation

TL;DR: In this paper, a system and method for measuring an item's dimensions using a time-of-flight dimensioning system is described, in which an adjustable aperture's size, shape, and position are controlled so that the light beam used in the time of flight analysis substantially illuminates the illumination region without first being reflected.
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Handheld dimensioner with data-quality indication

TL;DR: In this article, a handheld dimensioner with a user interface configured to present a quality indicator is disclosed, where the user can use the quality indicators generated at different positions to find an optimal position for a particular dimension measurement.
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TL;DR: In this paper, the alignment software uses range information from a range sensor in order to generate alignment messages to help a user define a frame of reference and align the dimensioning system's range sensor for improved dimensioning performance.
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TL;DR: In this article, a system and method for structured-light dimensioning is described, which includes combining multiple images using different camera settings to provide all of the information necessary for dimensioning.
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TL;DR: In this article, a handheld dimensioning system that analyzes a depth map for null-data pixels to provide feedback is disclosed, which helps users understand and adapt to different dimensioning conditions, promotes accuracy, and facilitates handheld applications.
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.
Patent

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.
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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.
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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.