Multiple View Geometry in Computer Vision¶
Hartley, R., & Zisserman, A. (2004). Multiple View Geometry in Computer Vision. Cambridge University Press.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Direct Linear Transformation
- Geometric Transformation
- … admissible transformation group generally leaves fewer properties invariant: Euclidean geometry distinguishes distance, affine geometry forgets distance and angle but retains affine incidence and division ratios, and projective geometry retains still less metric structure while preserving incidence and cross-ratio.
This sourceProjective transformations, their hierarchy, homogeneous coordinates, and computer-vision applications.
- … admissible transformation group generally leaves fewer properties invariant: Euclidean geometry distinguishes distance, affine geometry forgets distance and angle but retains affine incidence and division ratios, and projective geometry retains still less metric structure while preserving incidence and cross-ratio.
- Random sample consensus
Mechanisms¶
- Scale and Foreshortening Overlay
- Its ellipse test rests on plain geometry: a circle under linear projection images as an ellipse, and the minor-to-major axis ratio encodes the plane's tilt, so a wrong ratio is a measurable orientation error.
This sourceExplains that projective imaging can transform a circle into an ellipse.
- Its ellipse test rests on plain geometry: a circle under linear projection images as an ellipse, and the minor-to-major axis ratio encodes the plane's tilt, so a wrong ratio is a measurable orientation error.
Verification¶
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Links previously used in the corpus¶
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