The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
International Journal of Computer Vision
Height and gradient from shading
Proceedings of a workshop on Image understanding workshop
Adaptive Smoothing: A General Tool for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional shape from color photometric stereo
International Journal of Computer Vision
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chamfer metrics, the medial axis and mathematical morphology
Journal of Mathematical Imaging and Vision - Special issue on topology and geometry in computer vision
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Reconstruction of pictures from their projections
Communications of the ACM
Perception of 3-D Surfaces from 2-D Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Space Analysis of Mutual Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Picture Reconstruction from Projections
IEEE Transactions on Computers
DeepView: a channel for distributed microscopy and informatics
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Shape Recovery from Equal Thickness Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
A collaborative framework for distributed microscopy
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
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A unique imaging modality based on Equal Thickness Contours (ETC) has introduced a new opportunity for 3D shape reconstruction from multiple views. We present a computational framework for representing each view of an object in terms of its object thickness, and then integrating these representations into a 3D surface by algebraic reconstruction. The object thickness is inferred by grouping curve segments that correspond to points of second derivative maxima. At each step of the process, we use some form of regularization to ensure closeness to the original features, as well as neighborhood continuity. We apply our approach to images of a sub-micron crystal structure obtained through a holographic process.