Paper
1 March 1992 Estimation of motion parameters using binocular camera configurations
Raghavan Sudhakar, Hanqi Zhuang, Padma Haliyur, Jen-yu Shieh
Author Affiliations +
Abstract
This paper is concerned with the estimation of rotational and translational motion parameters of planar and nonplanar object surfaces viewed with a binocular camera configuration. Possible application of this method includes autonomous guidance of a moving platform (AGVs) via imaging, and segmentation of moving objects by the use of information concerning motion and structure. Assuming that the brightness of a moving patch is invariant to small motion, a pair of equation, involving the object depth and the spatio-temporal derivatives of left and right images, is developed. The depth map is estimated by matching and triangulating contours in the stereo images and interpolating over internal regions. Considering the entire image points, a system linear equations in the unknown motion parameters is obtained and solved using the singular value decomposition technique. The algorithm was tested for simulated images as well as real images. Accurate results were obtained in case of simulated images. In the case of real image, the errors obtained with different levels of image spatial sampling, were within reasonable limits.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raghavan Sudhakar, Hanqi Zhuang, Padma Haliyur, and Jen-yu Shieh "Estimation of motion parameters using binocular camera configurations", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135079
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Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Motion estimation

Computer vision technology

Machine vision

Robot vision

Robots

Optical flow

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