By Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, Yonghuai Liu, Peter Bunting (eds.)
3D Imaging, research and Applications brings jointly center themes, either by way of well-established primary strategies and the main promising contemporary concepts within the fascinating box of 3D imaging and research. Many related concepts are getting used in various topic parts and purposes and the authors try to unify a number of comparable rules. With contributions from excessive profile researchers and practitioners, the cloth offered 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, aimed toward masters-level and doctoral-level examine scholars, a lot fabric is obtainable to final-year undergraduate scholars. it is going to additionally function a reference textual content for pro lecturers, humans operating in advertisement examine and improvement labs and commercial practitioners.
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Additional resources for 3D Imaging, Analysis and Applications
Int. J. Comput. Vis. 47, 7–42 (2002) 43. : Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, Cambridge (2002) 44. : New electro-optical mixing and correlating sensor: facilities and applications of the photonic mixer device (PMD). In: Proc. SPIE, vol. 3100 (1997) 45. : Recognition of polyhedrons with a range finder. Pattern Recognit. 4, 243–250 (1972) 46. : Real-time human pose recognition in parts from single depth images. In: CVPR (2011) 47. : Alhacen’s theory of visual perception: a critical edition, with English translation and commentary, of the first three books of Alhacen’s de aspectibus, the medieval Latin version of Ibn al-Haytham’s Kitab al-Manazir.
1 Part I: 3D Imaging and Shape Representation Chapter 2 describes passive 3D imaging, which recovers 3D information from camera systems that do not project light or other electromagnetic radiation onto the imaged scene. An overview of the common techniques used to recover 3D information from camera images is presented first. The chapter then focuses on 3D recovery from multiple views, which can be obtained using two or more cameras at the same time (stereo), or a single moving camera at different times (structure from motion).
In: CVPR (2011) 47. : Alhacen’s theory of visual perception: a critical edition, with English translation and commentary, of the first three books of Alhacen’s de aspectibus, the medieval Latin version of Ibn al-Haytham’s Kitab al-Manazir. Trans. Am. Philos. Soc. 91 (2001) 48. : A concise and provably informative multi-scale signature based on heat diffusion. Comput. Graph. Forum 28(5), 1383–1392 (2009) 49. : Computer Vision, Algorithms and Applications. Springer, Berlin (2010) 50. : A hierarchal data structure for picture processing.