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Epipolar Geometry in Stereo, Motion and Object Recognition - A Unified Approach (Hardcover, 1996 ed.)
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Epipolar Geometry in Stereo, Motion and Object Recognition - A Unified Approach (Hardcover, 1996 ed.)
Series: Computational Imaging and Vision, 6
Expected to ship within 10 - 15 working days
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Total price: R3,000
Discovery Miles: 30 000
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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 209 xi Contents 5. 2. 2 Motion
Correspondence and Segmentation 209 5. 2. 3 3D Object Recognition
and Localization 210 Disparity and Spatial Disparity Space 210 5.
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