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» Invariances in kernel methods: From samples to objects
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165
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CVPR
2012
IEEE
13 years 5 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
PR
2008
195views more  PR 2008»
15 years 2 months ago
Object detection by global contour shape
We present a method for object class detection in images based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation,...
Konrad Schindler, David Suter
132
Voted
CVPR
2006
IEEE
16 years 5 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
171
Voted
TIP
2010
146views more  TIP 2010»
15 years 1 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
156
Voted
ISVC
2010
Springer
15 years 1 months ago
An Improved Shape Matching Algorithm for Deformable Objects Using a Global Image Feature
Abstract. We propose an improved shape matching algorithm that extends the work of Felzenszwalb [3]. In this approach, we use triangular meshes to represent deformable objects and ...
Jibum Kim, Suzanne M. Shontz