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

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

ISBN-10: 1447140621

ISBN-13: 9781447140627

ISBN-10: 144714063X

ISBN-13: 9781447140634

3D Imaging, research and Applications brings jointly middle subject matters, either by way of well-established primary strategies and the main promising contemporary ideas within the intriguing box of 3D imaging and research. Many related recommendations are getting used in numerous topic parts and purposes and the authors try and unify various comparable rules. With contributions from excessive profile researchers and practitioners, the fabric 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 essentially a graduate textual content, geared toward masters-level and doctoral-level learn scholars, a lot fabric is on the market to final-year undergraduate scholars. it is going to additionally function a reference textual content for pro teachers, humans operating in advertisement study and improvement labs and commercial practitioners.

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Intell. 14(2), 239–256 (1992) 6. : Optimal orientation detection of linear symmetry. In: First International Conference on Computer Vision, pp. 433–438. IEEE Computer Society, New York (1987) 7. : The classification of volumetric display systems: characteristics and predictability of the image space. IEEE Trans. Vis. Comput. Graph. 8, 66–75 (2002) 8. : Color-encoded structured light for rapid active ranging. IEEE Trans. Pattern Anal. Mach. Intell. 9(1) (1987) 9. : The Stereoscope: Its History, Theory, and Construction with Applications to the fine and useful Arts and to Education.

An example of the registration required for model construction from partial 3D views is given in Fig. 7. 8 Passive 3D Imaging: The Fundamental Matrix and Camera Self-calibration In 1992 Luong, Faugeras, and Maybank extended the Essential Matrix to uncalibrated cameras through the Fundamental Matrix. While for the Essential Matrix estimation, the camera intrinsic parameters had to be known in advance, now arbitrary cameras could be used and calibrated from the image data alone. The papers by Faugeras:What can be seen in three dimensions with an uncalibrated stereo rig?

Passive, multiple-view 3D imaging originates from the mature field of photogrammetry and, more recently, from the younger field of computer vision. In contrast to photogrammetry, computer vision applications rely on fast, automatic techniques, sometimes at the expense of precision. Our focus is from the computer vision perspective. A recurring theme of this chapter is that we consider some aspect of the geometry of 3D imaging and formulate a linear least squares estimation problem to estimate the associated geometric parameters.

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3D Imaging, Analysis and Applications by Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, Yonghuai Liu, Peter Bunting (eds.)

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