3D shape analysis :
Laga, Hamid,
3D shape analysis : fundamentals, theory, and applications / Three D shape analysis Hamid Laga, Murdoch University and University of South Australia, Australia, Yulan Guo, National University of Defense Technology, China, Hedi Tabia, ETIS UMR 8051, Paris Seine University, University of Cergy-Pontoise, ENSEA, CNRS, France, Robert B. Fisher, University of Edinburgh, United Kingdom, Mohammed Bennamoun, The University of Western Australia, Australia. - 1 online resource.
The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends.
9781119405191 111940519X 9781119405207 1119405203
Three-dimensional imaging.
Pattern recognition systems.
Shapes--Computer simulation.
Machine learning.
COMPUTERS / General.
Machine learning.
Pattern recognition systems.
Three-dimensional imaging.
Electronic books.
TA1560 / .L34 2019
006.6/93
3D shape analysis : fundamentals, theory, and applications / Three D shape analysis Hamid Laga, Murdoch University and University of South Australia, Australia, Yulan Guo, National University of Defense Technology, China, Hedi Tabia, ETIS UMR 8051, Paris Seine University, University of Cergy-Pontoise, ENSEA, CNRS, France, Robert B. Fisher, University of Edinburgh, United Kingdom, Mohammed Bennamoun, The University of Western Australia, Australia. - 1 online resource.
The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends.
9781119405191 111940519X 9781119405207 1119405203
Three-dimensional imaging.
Pattern recognition systems.
Shapes--Computer simulation.
Machine learning.
COMPUTERS / General.
Machine learning.
Pattern recognition systems.
Three-dimensional imaging.
Electronic books.
TA1560 / .L34 2019
006.6/93