By Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, Yonghuai Liu, Peter Bunting (eds.)
3D Imaging, research and Applications brings jointly middle issues, either by way of well-established basic strategies and the main promising contemporary suggestions within the fascinating box of 3D imaging and research. Many related innovations are getting used in a number of topic components and functions and the authors try and unify various similar rules. With contributions from excessive profile researchers and practitioners, the fabric awarded 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 offered to final-year undergraduate scholars. it is going to additionally function a reference textual content for pro teachers, humans operating in advertisement learn and improvement labs and business practitioners.
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Extra info for 3D Imaging, Analysis and Applications
E. not inverted top to bottom and left to right) and this position is shown in the figure. Despite the apparent simplicity of Fig. 1(top), a large part of this chapter is required to present the various aspects of stereo 3D imaging in detail, such as calibration, determining left-to-right image correspondences and dense 3D shape reconstruction. 1 is shown in the center of Fig. 1, although many computer vision researchers build their own stereo rigs, using off-the-shelf digital cameras and a slotted steel bar mounted on a tripod.
Thus, later in the chapter (Sect. 9), some recent applications involving such systems are presented. Several commercially available stereo vision systems will first be presented. We then describe 3D modeling systems that generate photo-realistic 3D models from image sequences, which have a wide range of applications. Later in this section, passive 3D imaging systems for mobile robot pose estimation and obstacle detection are described. Finally, multiple-view passive 3D imaging systems are compared to their counterpart within active 3D imaging systems.
2) and active techniques (Chap. 3). e. sunlight or standard room lighting), whilst the latter projects its own illumination (usually visible or infra-red) onto the scene. Both chapters place an emphasis on techniques that employ the geometry of range triangulation, which requires cameras and/or projector stationed at two (or more) viewpoints. Chapter 4 discusses how to represent the captured data, both for efficient algorithmic 3D data processing and efficient data storage. This provides a bridge to the following part of the book, which deals with 3D shape analysis and processing.