'Epipolar line' presentation slideshows

Binocular Stereo #1

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Epipolar geometry

762 views • 50 slides

Epipolar geometry

600 views • 50 slides

Stereo and Projective Structure from Motion

04/13/10. Stereo and Projective Structure from Motion. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Many slides adapted from Lana Lazebnik, Silvio Saverese, Steve Seitz. This class. Recap of epipolar geometry Recovering structure

667 views • 49 slides

Stereo and Projective Structure from Motion

04/13/10. Stereo and Projective Structure from Motion. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Many slides adapted from Lana Lazebnik, Silvio Saverese, Steve Seitz. This class. Recap of epipolar geometry Recovering structure

580 views • 49 slides

Computing F

Computing F. Epipolar geometry: basic equation. separate known from unknown. (data). (unknowns). (linear). If A has rank 8 ? soln unique up to a scale factor For noisy data, rank of A might be larger than 8 ? least squares soln

454 views • 36 slides

Computing F

Computing F. Epipolar geometry: basic equation. separate known from unknown. (data). (unknowns). (linear). If A has rank 8 ? soln unique up to a scale factor For noisy data, rank of A might be larger than 8 ? least squares soln

438 views • 36 slides

Computing F

Computing F. Epipolar geometry: basic equation. separate known from unknown. (data). (unknowns). (linear). If A has rank 8 ? soln unique up to a scale factor For noisy data, rank of A might be larger than 8 ? least squares soln

446 views • 36 slides

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Computational Architectures in Biological Vision, USC

Computational Architectures in Biological Vision, USC. Lecture 8. Stereoscopic Vision Reading Assignments: Second part of Chapter 10. Seeing With Multiple Eyes. From a single eye: can analyze color, luminance, orientation, etc of objects. But to locate objects in depth we

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Epipolar Geometry

783 views • 28 slides

Correspondence-Free Determination of the Affine Fundamental Matrix

2007. 2. 6 (Tue) Young Ki Baik, Computer Vision Lab. . Correspondence-Free Determination of the Affine Fundamental Matrix. Correspondence-Free Determination of the Affine fundamental Matrix. References Correspondence-Free Determination of the Affine Fundamental Matrix

535 views • 26 slides

Stereo Vision

489 views • 26 slides

Image-Based Visual Hulls

Image-Based Visual Hulls. Wojciech Matusik Chris Buehler Ramesh Raskar Steven Gortler Leonard McMillan. Presentation by: Kenton McHenry. Visual Hull.

419 views • 25 slides

Computer Vision

351 views • 23 slides

Stereo matching

477 views • 22 slides

Two-view geometry diagram

Two-view geometry diagram. Epipolar geometry HZ 9.1. Fundamental matrix HZ 9.2. normalized 8-pt alg for F HZ 11.2. 7-point algorithm. Camera from F. Structure computation Alg 12.1, HZ318. Overview of 2-view geometry. entering Part II of Hartley-Zisserman epipolar geometry

302 views • 13 slides

Solving Visibility with Epipolar Geometry

Solving Visibility with Epipolar Geometry. Tien-Tsin Wong. Chinese University of Hong Kong. View Interpolation. Given the reference images. Synthesize the (desired) image in between. Tien-Tsin Wong (Nov. 1999). Visibility. View Interpolation (2). Two sub-problems:

234 views • 11 slides

Adapted from M. Pollefeys, UNC

Epipolar geometry. Epipolar Plane. Baseline. Epipoles. Epipolar Lines. Adapted from M. Pollefeys, UNC. Epipolar geometry: terms. Baseline : line joining the camera centers Epipole : point of intersection of baseline with the image plane

260 views • 6 slides

Uncalibrated Stereo Rectification for Automatic 3D Surveillance

Uncalibrated Stereo Rectification for Automatic 3D Surveillance. Ser-Nam Lim, Anurag Mittal, Larry S. Davis and Nikos Paragios. Results. Why does it work?. Stereo Rectification. Plane+Parallax effect

313 views • 1 slides