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 |  | 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 | doi | https://doi.org/10.1007/978-94-015-8668-9 | isbn_softcover | 978-90-481-4743-4 | isbn_ebook | 978-94-015-8668-9Series ISSN 1381-6446 | issn_series | 1381-6446 | copyright | Springer Science+Business Media Dordrecht 1996 |
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