From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Convex bodies: the brunn–minkowski theory

Phase shifting algorithms for fringe projection profilometry: A review

High-speed 3D shape measurement with structured light methods: A review

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Two Dimensional Phase Unwrapping Theory Algorithms And Software

Some recent advances on superfast 3D shape measurement with digital binary defocusing techniques

This paper analyzes the phase error for a three-dimensional (3D) shape measurement system that utilizes our recently proposed projector defocusing technique. This technique generates seemingly sinusoidal structured patterns by defocusing binary structured patterns and then uses these patterns to perform 3D shape measurement by fringe analysis. However, significant errors may still exist if an object is within a certain depth range, where the defocused fringe patterns retain binary structure. In this research, we experimentally studied a large depth range of defocused fringe patterns, from near-binary to near-sinusoidal, and analyzed the associated phase errors. We established a mathematical phase error function in terms of the wrapped phase and the depth z. Finally, we calibrated and used the mathematical function to compensate for the phase error at arbitrary depth ranges within the calibration volume. Experimental results will be presented to demonstrate the success of this proposed technique.

https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1089&context=me_pubs

Phase error compensation for three-dimensional shape measurement with projector defocusing

https://engineering.purdue.edu/ZhangLab/publications/papers/2013-ole-opt.pdf

Junfei Dai

Papers

Some recent advances on superfast 3D shape measurement with digital binary defocusing techniques

Phase error compensation for three-dimensional shape measurement with projector defocusing

Phase-optimized dithering technique for high-quality 3D shape measurement

High-quality fringe pattern generation using binary pattern optimization through symmetry and periodicity

Intensity-optimized dithering technique for three-dimensional shape measurement with projector defocusing