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Titlebook: Epipolar Geometry in Stereo, Motion and Object Recognition; A Unified Approach Gang Xu,Zhengyou Zhang Book 1996 Springer Science+Business M

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书目名称Epipolar Geometry in Stereo, Motion and Object Recognition
副标题A Unified Approach
编辑Gang Xu,Zhengyou Zhang
视频video
丛书名称Computational Imaging and Vision
图书封面Titlebook: Epipolar Geometry in Stereo, Motion and Object Recognition; A Unified Approach Gang Xu,Zhengyou Zhang Book 1996 Springer Science+Business M
描述Appendix 164 3. A 3. A. 1 Approximate Estimation of Fundamental Matrix from General Matrix 164 3. A. 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 1 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 2. 1 Overlap of Two Corresponding Line Segments 173 Estimating Motion by Maximizing Overlap 175 4. 2. 2 Implementation Details 4. 2. 3 176 Reconstructing 3D Line Segments 4. 2. 4 179 4. 2. 5 Experimental Results 180 4. 2. 6 Discussions 192 4. 3 Determining Epipolar Geometry of Three Views 194 4. 3. 1 Trifocal Constraints for Point Matches 194 4. 3. 2 Trifocal Constraints for Line Correspondences 199 4. 3. 3 Linear Estimation of K, L, and M Using Points and Lines 200 4. 3. 4 Determining Camera Projection Matrices 201 4. 3. 5 Image Transfer 203 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5. 1 Conventional Approaches to Stereo, Motion and Object Recognition 205 5. 1. 1 Stereo 205 5. 1. 2 Motion 206 5. 1. 3 Object Recognition 207 5. 2 Correspondence in Stereo, Motion and Object Recognition as 1D Search 209 5. 2. 1 Stereo Matching
出版日期Book 1996
关键词3D; Counter; Epipolar geometry; Standard; Stereo; Virtual Reality; computer; computer graphics; computer vis
版次1
doihttps://doi.org/10.1007/978-94-015-8668-9
isbn_softcover978-90-481-4743-4
isbn_ebook978-94-015-8668-9Series ISSN 1381-6446
issn_series 1381-6446
copyrightSpringer Science+Business Media Dordrecht 1996
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Ein Idol mit 29 und keine Ausnahme,t always available for every object. In the case of manufactured objects, the data used in designing may be available. If one has to obtain the data by vision, then the difficulty is that there is still no algorithm available that works in every kind of environment.
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Henning Nuissl,Christiane Joerkal laws, the interframe displacements of objects are bounded, i.e., the correspondence of a token at the subsequent instant must be in the neighborhood of the first. However, in many cases, such as a pair of uncalibrated stereo images, this technique does not apply. Developing a robust image matching technique is thus very important.
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Image Matching and Uncalibrated Stereo,al laws, the interframe displacements of objects are bounded, i.e., the correspondence of a token at the subsequent instant must be in the neighborhood of the first. However, in many cases, such as a pair of uncalibrated stereo images, this technique does not apply. Developing a robust image matching technique is thus very important.
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3D Object Recognition and Localization with Model Views,t always available for every object. In the case of manufactured objects, the data used in designing may be available. If one has to obtain the data by vision, then the difficulty is that there is still no algorithm available that works in every kind of environment.
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