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 thoughts and the main promising contemporary innovations within the intriguing box of 3D imaging and research. Many comparable strategies are getting used in numerous topic components and functions and the authors try to unify various similar rules. With contributions from excessive profile researchers and practitioners, the cloth awarded is informative and authoritative and represents mainstream paintings and evaluations 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 if 3D Imaging, research and Applications is essentially a graduate textual content, geared toward masters-level and doctoral-level learn scholars, a lot fabric is obtainable 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 commercial practitioners.
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Extra resources for 3D Imaging, Analysis and Applications
9 Left: calibration targets used in a camera calibration process, images courtesy of Hao Sun. Right: after calibration, it is possible to determine the positions of the calibration planes using the estimated extrinsic parameters. edu/bouguetj/calib_doc/, accessed 22nd Dec 2011. Page maintained by Jean-Yves Bouguet board image. The same corner position input data can be used to calibrate a stereo rig, whereby two sets of intrinsic parameters are established and the extrinsic parameters define the 6 degree-of-freedom rigid pose of one camera relative to another.
Koch et al. characterization of such triangulation-based systems is discussed using both an error propagation framework and experimental protocols. Chapter 4 focuses on 3D data representation, storage and visualization. It begins by providing a taxonomy of 3D data representations and then presents more detail on a selection of the most important 3D data representations and their processing, such as triangular meshes and subdivision surfaces. This chapter also discusses the local differential properties of surfaces, mesh simplification and compression.
IEEE Trans. Broadcast. 57(2), 477–490 (2011) 4. : Representation and Analysis of Signals. Part xxi: The Intrinsic Dimensionality of Signal Collections, Rep. 163. The Johns Hopkins University, Baltimore (1965) 5. : A method for registration of 3D shapes. IEEE Trans. Pattern Anal. Mach. 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.
3D Imaging, Analysis and Applications by Reinhard Koch, Nick Pears, Yonghuai Liu (auth.), Nick Pears, Yonghuai Liu, Peter Bunting (eds.)