Motion Segmentation From Tracked Features: An improved Local Subspace Affinity algorithm without priors - Softcover
Synopsis
Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of works has been trying to tackle this challenging problem, however, performances of most of them still fall far behind human perception. In this work the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. A classification of all these techniques into different categories according to their main principle and features is proposed, and their strengths and weaknesses are pointed out. One of the most promising technique emerged from the review, the Local Subspace Affinity, is studied in its details highlighting and commenting its critical points. Some improvements to this technique are proposed and validated with tests on synthetic and real sequences. Finally further research directions are suggested.
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About the Authors
L. Zappella is a PhD candidate at the University of Girona (Spain). X. Lladó is lecturer at the University of Girona (Spain). J. Salvi is professor at University of Girona (Spain). Authors' research interests are in the field of image processing, computer vision, motion analysis, structure from motion and 3D reconstruction.
L. Zappella is a PhD candidate at the University of Girona (Spain). X. Lladó is lecturer at the University of Girona (Spain). J. Salvi is professor at University of Girona (Spain). Authors' research interests are in the field of image processing, computer vision, motion analysis, structure from motion and 3D reconstruction.
L. Zappella is a PhD candidate at the University of Girona (Spain). X. Lladó is lecturer at the University of Girona (Spain). J. Salvi is professor at University of Girona (Spain). Authors' research interests are in the field of image processing, computer vision, motion analysis, structure from motion and 3D reconstruction.
"About this title" may belong to another edition of this title.
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Motion Segmentation From Tracked Features
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of works has been trying to tackle this challenging problem, however, performances of most of them still fall far behind human perception. In this work the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. A classification of all these techniques into different categories according to their main principle and features is proposed, and their strengths and weaknesses are pointed out. One of the most promising technique emerged from the review, the Local Subspace Affinity, is studied in its details highlighting and commenting its critical points. Some improvements to this technique are proposed and validated with tests on synthetic and real sequences. Finally further research directions are suggested. 60 pp. Englisch. Seller Inventory # 9783844300604
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Motion Segmentation From Tracked Features
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of works has been trying to tackle this challenging problem, however, performances of most of them still fall far behind human perception. In this work the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. A classification of all these techniques into different categories according to their main principle and features is proposed, and their strengths and weaknesses are pointed out. One of the most promising technique emerged from the review, the Local Subspace Affinity, is studied in its details highlighting and commenting its critical points. Some improvements to this technique are proposed and validated with tests on synthetic and real sequences. Finally further research directions are suggested.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Seller Inventory # 9783844300604
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Motion Segmentation From Tracked Features : An improved Local Subspace Affinity algorithm without priors
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Motion Segmentation From Tracked Features | An improved Local Subspace Affinity algorithm without priors
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Taschenbuch. Condition: Neu. Motion Segmentation From Tracked Features | An improved Local Subspace Affinity algorithm without priors | Luca Zappella (u. a.) | Taschenbuch | 60 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844300604 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107122766
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Motion Segmentation From Tracked Features: An improved Local Subspace Affinity algorithm without priors
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