Download 3D Imaging, Analysis and Applications by Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, PDF

By Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, Yonghuai Liu, Peter Bunting (eds.)

ISBN-10: 1447140621

ISBN-13: 9781447140627

3D Imaging, research and Applications brings jointly center subject matters, either by way of well-established basic ideas and the main promising fresh innovations within the interesting box of 3D imaging and research. Many related thoughts are getting used in numerous topic components and purposes and the authors try to unify a number of similar rules. With contributions from excessive profile researchers and practitioners, the cloth provided is informative and authoritative and represents mainstream paintings and critiques in the community.

Composed of 3 sections, the 1st examines 3D imaging and form illustration, the second one, 3D form research and processing, and the final part covers 3D imaging functions. even supposing 3D Imaging, research and Applications is basically a graduate textual content, aimed toward masters-level and doctoral-level study scholars, a lot fabric is offered to final-year undergraduate scholars. it's going to additionally function a reference textual content for pro lecturers, humans operating in advertisement study and improvement labs and business practitioners.

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Extra resources for 3D Imaging, Analysis and Applications

Sample text

Note that, although the real image plane is behind the camera center, it is common practice to employ a virtual image plane in front of the camera, so that the image is conveniently at the same orientation as the scene how far along the ray the 3D scene point lies, explicit depth information is lost in the imaging process. This is the main source of geometric ambiguity in a single image and is the reason why we refer to the recovery of the depth information from stereo and other cues as 3D reconstruction.

The estimation is in two-stages: firstly, a closed-form linear solution for the camera’s parameters is used, followed by a non-linear refinement based on the maximum-likelihood criterion. In the first stage, lens distortion is assumed to be zero, whereas the second stage provides a mechanism for radial distortion parameters to be estimated, if required. 9 illustrates a typical set of calibration plane positions to calibrate a camera and a standard corner detector is used to find each junction of four squares on each chess- 22 R.

Therefore, it is augmented with additional global smoothness constraints, so that the motion field can be estimated by minimizing an energy function [23, 29]. 3D motion of the camera and the scene structure can then be recovered from the motion field. 2 Single View Approaches In contrast to these two multiple-view approaches, 3D shape can be inferred from a single viewpoint using information sources (cues) such as shading, texture and focus. Not surprisingly, these techniques are called shape from shading, shape from texture and shape from focus respectively.

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