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Proceedings ArticleDOI

Development of a video-rate stereo machine

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TLDR
A video-rate stereo machine has been developed at CMU with the capability of generating a dense range map, aligned with an intensity image, at the video rate, with high throughput and high precision.
Abstract
A video-rate stereo machine has been developed at CMU with the capability of generating a dense range map, aligned with an intensity image, at the video rate. The target performance of the CMU video-rate stereo machine is: 1) multi-image input of 6 cameras; 2) high throughput of 30 million point/spl times/disparity measurement per second; 3) high frame rate of 30 frame/sec; 4) a dense depth map of 256/spl times/240 pixels; 5) disparity search range of up to 60 pixels; 6) high precision of up to 7 bits (with interpolation); and 7) uncertainty estimation available for each pixel.

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References
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Journal ArticleDOI

The Laplacian Pyramid as a Compact Image Code

TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Journal ArticleDOI

A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses

TL;DR: In this paper, a two-stage technique for 3D camera calibration using TV cameras and lenses is described, aimed at efficient computation of camera external position and orientation relative to object reference coordinate system as well as the effective focal length, radial lens distortion, and image scanning parameters.
Book

A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses

Roger Y. Tsai
TL;DR: A new technique for three-dimensional camera calibration for machine vision metrology using off-the-shelf TV cameras and lenses using two-stage technique has advantage in terms of accuracy, speed, and versatility over existing state of the art.
Journal ArticleDOI

A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features

TL;DR: This paper shows how simple and parallel techniques can be combined to achieve this goal and deal with complex real world scenes and shows that the algorithm relies on correlation followed by interpolation and performs very well on difficult images such as faces and cluttered ground level scenes.

Real time correlation-based stereo: algorithm, implementations and applications

TL;DR: The algorithm that has been described is not the most sophisticated available but it has made it robust and reliable thanks to a number of improvements and has shown that real time stereo is possible today at low-cost and can be applied in real applications.
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