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Structure from motion by voting algorithm

✍ Scribed by Teruo Hamano; Kenichiro Ishii; Takayuki Yasuno

Book ID
104591567
Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
976 KB
Volume
24
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In methods for extracting three‐dimensional structure by conventional spatiotemporal image analysis, camera motion was restricted to constant velocity linear motion in order to use epipolar constraints. In this paper, we are proposing a method for extracting three‐dimensional structure that permits arbitrary camera motion by introducing weighted voting of the lines of sight in the spatiotemporal image analysis and does not track the paths of feature points in the image space. Since there is absolutely no matching among images in this method, it is very robust when gaps occur in the feature point paths as a result of occlusion and noise. Tests were performed using a real image and the effectiveness of this method for a complex image with occlusions was verified.

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