Shape from regular patterns
References (22)
- et al.
Texture gradient as a depth cue
Computer Graphics and Image Processing
(1976) Recovering surface shape and orientation from texture
Artificial Intelligence
(1981)- et al.
Numerical shape from shading and occluding boundaries
Artificial Intelligence
(1981) - et al.
Interpreting line drawings as three-dimensional surfaces
Artificial Intelligence
(1981) Understanding line drawing of scenes with shadows
Representing visual information—a computational approach
- et al.
Recovering intrinsic scene characteristics from images
SEQUINS and QUILLS: representation for surface topography
Shape from texture: a computational paradigm
Recovery of the three-dimensional shape of an object from a single view
Cited by (56)
Estimating the perspective pose of texture planes using spectral analysis on the unit sphere
2002, Pattern RecognitionCitation Excerpt :The main advantage is that unlike the image plane, the unit sphere is a closed space parametrised by the two angles of azimuth, and, zenith or elevation. Spherical projections of the image plane have been exploited by several authors [15,28]. However, they have employed structural representations of texture.
Detecting multiple texture planes using local spectral distortion
2002, Image and Vision ComputingEstimating the 3D orientation of texture planes using local spectral analysis
2000, Image and Vision ComputingCitation Excerpt :By contrast, the spectral method attempts to infer shape from distortions in the frequency representation of texture. Structural methods use the geometry of edges, lines or arcs to identify perspective distortion using shape cues [4–6]. Unfortunately, the segmentation of the texture primitives is a process of extreme fragility, and in most cases the techniques have only been demonstrated on synthetic or highly contrived data.
Planar surface orientation from texture spatial frequencies
1995, Pattern RecognitionImproved orientation estimation for texture planes using multiple vanishing points
2000, Pattern Recognition
Copyright © 1984 Published by Elsevier B.V.