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.
从九月份到今天,断断续总算是看完了一遍。 看完PART 1的最大感觉是激动,第一次体会到线性代数或矩阵论的用处,还有数学推导的享受,每一步既符合数学抽象概念里面的约束,结果又具有比较明确的几何解释及物理含义,十分享受。 现在,深度学习是计算机视觉里面的另一个重要工...
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 ...............................................................................................................
评分本书是计算机视觉中geometry方向的基础书,总结了20年来的200多篇ICCV,ECCV,CVPR上面有关多视觉几何相关文献,做calibration的同学必看此书。 几乎只要学过线性代数,就可以开始看此书。不过书中也有一些问题比较tricky~ 大概花了3个月读完此书,略有所得,不过也有很多问题尚...
评分超级棒的一本书,尤其是偏几何方向的CVer,必读书目。 本人最近在读中,并且每周在组会上做一章的presentation ,收获颇丰~~ 通读全书,基本需要2-3个月的时间。读后,会对基本的视觉几何有一个理论上的基础认识。同时结合一些最新的CVPR,ICCV,ECCV的文章,会有比较大的收获...
断断续续看了三个月,点面兼顾,尤其是从conic的角度来看各种reconstruction问题,看起来更加直观简洁。不过我还是喜欢马毅的那本书。
评分好书!
评分神作
评分太高深了看不懂
评分我是学摄影测量的,自认为学的还不错,以前觉得计算机多视几何方面的东西和摄影测量差不多,看了这本书的一小部分就知道自己大错特错了。这本书太强大了,学科有交叉才有创新,希望所有学测绘的人能读读,不要在坐井底之蛙。
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