Shape from texture: estimation, isotropy and moments
Artificial Intelligence
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Shape from Texture for Smooth Curved Surfaces
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Geometric Grouping of Repeated Elements within Images
Shape, Contour and Grouping in Computer Vision
Repeated Structures: Image Correspondence Constraints and 3D Structure Recovery
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Surface orientation and curvature from differential texture distortion
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Textons, Contours and Regions: Cue Integration in Image Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Shape from Texture without Boundaries
International Journal of Computer Vision
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Homogeneity cues for texel size estimation of periodic and near-periodic textures
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Retexturing single views using texture and shading
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Lattice estimation from images of patterns that exhibit translational symmetry
Image and Vision Computing
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We describe a shape from texture method that constructs a maximum a posteriori estimate of surface coefficients using only the deformation of individual texture elements. Our method does not need to use either the boundary of the observed surface or any assumption about the overall distribution of elements. The method assumes that texture elements are of a limited number of types of fixed shape. We show that, with this assumption and assuming generic view and texture, each texture element yields the surface gradient unique up to a two-fold ambiguity. Furthermore, texture elements that are not from one of the types can be identified and ignored. An EM-like procedure yields a surface reconstruction from the data. The method is defined for othographic views -- an extension to perspective views appears to be complex, but possible. Examples of reconstructions for synthetic images of surfaces are provided, and compared with ground truth. We also provide examples of reconstructions for images of real scenes. We show that our method for recovering local texture imaging transformations can be used to retexture objects in images of real scenes.