Automatic rotational symmetry determination for shape analysis
Pattern Recognition
Height and gradient from shading
International Journal of Computer Vision
3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Symmetry as a Continuous Feature
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Content-based 3D Neuroradiologic Image Retrieval: Preliminary Results
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Transparent Surface Modeling from a Pair of Polarization Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neural network scheme for transparent surface modelling
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
A neural network for simultaneously reconstructing transparent and opaque surfaces
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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This paper presents a combinatorial (decision tree induction) technique for transparent surface modeling from polarization images. This technique simultaneously uses the object’s symmetry, brewster angle, and degree of polarization to select accurate reference points. The reference points contain information about surface’s normals position and direction at near occluding boundary. We reconstruct rotationally symmetric objects by rotating these reference points.