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ACCV
2006
Springer
14 years 1 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
CA
2000
IEEE
13 years 12 months ago
Space-Time and Higher Dimensional Modeling for Animation
There are limitations to the current BRep based “model then animate” paradigm when animating time-dependent (dynamic) objects. This paper describes an approach to modeling dyn...
Eric Fausett, Alexander A. Pasko, Valery Adzhiev
DAGM
2006
Springer
13 years 11 months ago
Shape Matching by Variational Computation of Geodesics on a Manifold
Abstract. Klassen et al. [9] recently developed a theoretical formulation to model shape dissimilarities by means of geodesics on appropriate spaces. They used the local geometry o...
Frank R. Schmidt, Michael Clausen, Daniel Cremers
ISIPTA
2003
IEEE
14 years 25 days ago
Geometry of Upper Probabilities
In this paper we adopt the geometric approach to the theory of evidence to study the geometric counterparts of the plausibility functions, or upper probabilities. The computation ...
Fabio Cuzzolin
CORR
2006
Springer
109views Education» more  CORR 2006»
13 years 7 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer