Paper
25 October 2004 Novel visual sensor system fusing an active trinocular vision and a stereo vision for 3D range data acquisition
Author Affiliations +
Proceedings Volume 5603, Machine Vision and its Optomechatronic Applications; (2004) https://doi.org/10.1117/12.571041
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
One of major research issues associated with 3D range acquisition is the creation of sensor systems with various functionalities and small size. A variety of machine vision techniques have been developed for the determination of 3D scene geometric information from 2D images. As one of active sensors, structured lighting method has been widely used because of its robustness on the illumination noise and its extractability of feature information of interest. As one of passive sensors, stereo vision does also due to its simple configuration and easy construction. In this work, we propose a novel visual sensor system for 3D range acquisition, using active technique and passive one simultaneously. The proposed sensor system includes inherently two types of sensors, an active trinocular vision and a passive stereo vision. In the active vision part of this sensor, the structured lighting method using multi-lasers is basically utilized. In its stereo vision part, a general passive stereo is constructed. Since each of them has its own advantages and disadvantages on the measurements of various objects, we propose sensor fusion algorithms for acquiring more reliable range information from them. To see how the proposed sensing system can be applied to real applications, we mount it on a mobile robot, and a series of experimental tests is performed for a variety of configurations of robot and environment. The sensing results are discussed in detail.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Young Kim, Hyungsuck Cho, and Hyun Ki K. Lee "Novel visual sensor system fusing an active trinocular vision and a stereo vision for 3D range data acquisition", Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); https://doi.org/10.1117/12.571041
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Stereo vision systems

3D vision

Cameras

Mobile robots

Environmental sensing

Visualization

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