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» HITS is Principal Components Analysis
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107
Voted
CVPR
2006
IEEE
16 years 2 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
120
Voted
CVPR
2007
IEEE
16 years 2 months ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
CVPR
2007
IEEE
16 years 2 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
130
Voted
CVPR
2008
IEEE
16 years 2 months ago
Where am I: Place instance and category recognition using spatial PACT
We introduce spatial PACT (Principal component Analysis of Census Transform histograms), a new representation for recognizing instances and categories of places or scenes. Both pl...
Jianxin Wu, James M. Rehg
108
Voted
ICCV
2003
IEEE
16 years 2 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara