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» Complexity of Self-assembled Shapes
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HYBRID
1998
Springer
15 years 2 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
79
Voted
SIGGRAPH
1992
ACM
15 years 1 months ago
Variational surface modeling
We present a new approachto interactive modeling of freeform surfaces. Instead of a fixed mesh of control points, the model presented to the user is that of an infinitely malleabl...
William Welch, Andrew P. Witkin
CVPR
2006
IEEE
15 years 1 months ago
Accurate Tracking of Monotonically Advancing Fronts
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
M. Sabry Hassouna, Aly A. Farag
ECCV
2006
Springer
15 years 1 months ago
Robust Homography Estimation from Planar Contours Based on Convexity
Abstract. We propose a homography estimation method from the contours of planar regions. Standard projective invariants such as cross ratios or canonical frames based on hot points...
Alberto Ruiz, Pedro E. López-de-Teruel, Lor...
SGP
2007
15 years 8 days ago
Elastic secondary deformations by vector field integration
We present an approach for elastic secondary deformations of shapes described as triangular meshes. The deformations are steered by the simulation of a low number of simple mass-s...
Wolfram von Funck, Holger Theisel, Hans-Peter Seid...