Surface descriptions from stereo and shading
Image and Vision Computing
Finding axes of skewed symmetry
Computer Vision, Graphics, and Image Processing
The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
Shape from shading
On characterizing ribbons and finding skewed symmetries
Computer Vision, Graphics, and Image Processing
Integrability disambiguates surface recovery in two-image photometric stereo
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Object recognition through invariant indexing
Object recognition through invariant indexing
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
Recovery of SHGCs From a Single Intensity View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalization to Novel Views: Universal, Class-based, andModel-based Processing
International Journal of Computer Vision
When is it Possible to Identify 3D Objects From Single Images Using Class Constraints?
International Journal of Computer Vision
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Detecting Symmetry in Grey Level Images: The Global Optimization Approach
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
3D Reconstruction from a Single View of an Object and Its Image in a Plane Mirror
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Symmetric Shape-from-Shading Using Self-ratio Image
International Journal of Computer Vision
Depth Estimation from Image Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Quantified Study of Facial Asymmetry in 3D Faces
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Acquiring height data from a single image of a face using local shape indicators
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Full and Partial Symmetries of Non-rigid Shapes
International Journal of Computer Vision
Local facial asymmetry for expression classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Photo-inspired model-driven 3D object modeling
ACM SIGGRAPH 2011 papers
Molding face shapes by example
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
3D shape recovery of smooth surfaces: dropping the fixed viewpoint assumption
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Shape palindromes: analysis of intrinsic symmetries in 2d articulated shapes
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Detecting and reconstructing 3d mirror symmetric objects
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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The paper presents a new approach for shape recovery based on integrating geometric and photometric information. We consider 3D bilaterally symmetric objects, that is, objects which are symmetric with respect to a plane (e.g., faces), and their reconstruction from a single image. Both the viewpoint and the illumination are not necessarily frontal. Furthermore, no correspondence between symmetric points is required.The basic idea is that an image taken from a general, non frontal viewpoint, under non-frontal illumination can be regarded as a pair of images. Each image of the pair is one half of the object, taken from different viewing positions and with different lighting directions. Thus, one-image-variants of geometric stereo and of photometric stereo can be used. Unlike the separate invocation of these approaches, which require point correspondence between the two images, we show that integrating the photometric and geometric information suffice to yield a dense correspondence between pairs of symmetric points, and as a result, a dense shape recovery of the object. Furthermore, the unknown lighting and viewing parameters, are also recovered in this process.Unknown distant point light source, Lambertian surfaces, unknown constant albedo, and weak perspective projection are assumed. The method has been implemented and tested experimentally on simulated and real data.