A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
计算机视觉分两大类:1.识别 2. 三维。我读书的时候research是做三维的,老板是Marr奖得主。 本书刚出的时候,我国内的老板就带了一本回国。当时还没有入门,但richard的书写的非常容易看。从single view开始看,很快就看进去了。第一次感受到科学的神奇就是那个暑假。真是读...
评分今年圣诞节送了此书作者一罐鹌鹑蛋和一瓶老干妈 ...............................................................................................................
评分今年圣诞节送了此书作者一罐鹌鹑蛋和一瓶老干妈 ...............................................................................................................
评分今年圣诞节送了此书作者一罐鹌鹑蛋和一瓶老干妈 ...............................................................................................................
评分今年圣诞节送了此书作者一罐鹌鹑蛋和一瓶老干妈 ...............................................................................................................
The best one in vision field so far.
评分剑桥大学的经典书籍,计算机视觉入门读物,比较难懂!
评分剑桥大学的经典书籍,计算机视觉入门读物,比较难懂!
评分好书!
评分这本书图像几何方面已经应有尽有,不愧大师经典!
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