Multiple-View Geometry

Five questions. Choose one answer for each, then submit to see your score and explanations.

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1. Which explanation matches two cameras and the epipolar constraint?A. Correspondence combines appearance with geometric and visibility constraints.B. Triangulation estimates a 3D point from the intersection, or closest fit, of two viewing rays.C. A tiny baseline gives weak depth parallax and amplifies triangulation uncertainty.D. Epipolar geometry constrains a point's correspondence in the second view to an epipolar line.

2. Which explanation matches find corresponding points across views?A. Epipolar geometry constrains a point's correspondence in the second view to an epipolar line.B. Triangulation estimates a 3D point from the intersection, or closest fit, of two viewing rays.C. Correspondence combines appearance with geometric and visibility constraints.D. A tiny baseline gives weak depth parallax and amplifies triangulation uncertainty.

3. Which explanation matches triangulate a point from two rays?A. Epipolar geometry constrains a point's correspondence in the second view to an epipolar line.B. Triangulation estimates a 3D point from the intersection, or closest fit, of two viewing rays.C. Correspondence combines appearance with geometric and visibility constraints.D. A tiny baseline gives weak depth parallax and amplifies triangulation uncertainty.

4. For find corresponding points across views, which result or action fits this practical case: Many bricks look alike in the two camera images.A. Compare candidate brick matches along the relevant epipolar line and reject inconsistent neighbors.B. Search along the predicted line instead of across the whole second image.C. Use calibrated camera poses and the two observed pixels to recover depth.D. Compare depth estimates from a short and a larger baseline for the same distant point.

5. For watch for small-baseline failure, which result or action fits this practical case: Both cameras are almost in the same position.A. Search along the predicted line instead of across the whole second image.B. Compare candidate brick matches along the relevant epipolar line and reject inconsistent neighbors.C. Use calibrated camera poses and the two observed pixels to recover depth.D. Compare depth estimates from a short and a larger baseline for the same distant point.

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Multiple-View Geometry

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