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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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References
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Patent

Depth map real-time acquisition algorithm based on array camera

TL;DR: In this article, the authors proposed a real-time depth map realtime acquisition algorithm based on array camera, which comprises the steps of calibrating the camera array and projecting the depth map of the 3D camera in the field of view of each visible light camera to obtain an initial depth map, and secondarily, using the new energy function which is defined in the algorithm and fused with color information and initial depth information and taking the color maps or grey-scale maps of the visible light cameras as references to iteratively correct the original depth map so as to obtain the final high
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Optoelectronic sensor and method for detecting and determining the distance of an object

TL;DR: In this paper, an opto-electronic sensor (10) for the detection and distance determination of an object (24) in a monitoring region (14) with at least one image sensor (12) and with an evaluation unit (23) which from data of the image sensor can generate three-dimensional image, wherein a detection unit is formed from the 3D image data.