Gauge fixing for accurate 3D estimation

被引：0

作者：

Morris, DD ^{[1
]}

Kanatani, K ^{[1
]}

Kanade, T ^{[1
]}

机构：

[1] Northrop Grumman Corp, Pittsburgh, PA 15221 USA

来源：

2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Computer vision techniques can estimate 3D shape from images, but usually only up to a scale factor The scale factor must be obtained by a physical measurement of the scene or the camera motion. Using gauge theory, we show that how this scale factor is determined can significantly affect the accuracy of the estimated shape. And yet these considerations have been ignored in previous works where 3D shape accuracy is optimized. We investigate how scale fixing influences the accuracy of 3D reconstruction and determine what measurement should be made to maximize the shape accuracy.

引用

页码：343 / 350

页数：8

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