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» Application of Level Set Methods in Computer Vision
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IJCV
2006
262views more  IJCV 2006»
15 years 7 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
ICCV
2003
IEEE
16 years 17 days ago
Edit Distance From Graph Spectra
This paper is concerned with computing graph edit distance. One of the criticisms that can be leveled at existing methods for computing graph edit distance is that it lacks the fo...
Antonio Robles-Kelly, Edwin R. Hancock
CVPR
2008
IEEE
16 years 9 months ago
Color constancy beyond bags of pixels
Estimating the color of a scene illuminant often plays a central role in computational color constancy. While this problem has received significant attention, the methods that exi...
Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler
ECCV
2010
Springer
15 years 10 months ago
Contour Grouping and Abstraction using Simple Part Models
Grouping and Abstraction Using Simple Part Models Pablo Sala and Sven Dickinson Department of Computer Science, University of Toronto, Toronto ON, Canada We address the problem of ...