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113
Voted
ICCV
2009
IEEE
16 years 5 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
ICCV
2009
IEEE
16 years 5 months ago
Diagram Techniques for Multiple View Geometry
Multilinear algebra is a powerful theoretical tool for visual geometry, but widespread usage of traditional typographical notation often hides its conceptual elegance and simpli...
Alberto Ruiz, Pedro E. Lopez-de-Teruel
91
Voted
ICCV
2009
IEEE
16 years 5 months ago
Wide-Baseline Image Matching Using Line Signatures
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as...
Lu Wang, Ulrich Neumann and Suya You
120
Voted
ICCV
2009
IEEE
16 years 5 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
91
Voted
ICCV
2009
IEEE
16 years 5 months ago
The Dimensionality of Scene Appearance
Low-rank approximation of image collections (e.g., via PCA) is a popular tool in many areas of computer vision. Yet, surprisingly little is known justifying the observation that...
Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely
105
Voted
ICCV
2009
IEEE
16 years 5 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
106
Voted
ICCV
2009
IEEE
16 years 5 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir
191
Voted
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 5 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
121
Voted
ICCV
2009
IEEE
16 years 5 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
99
Voted
ICCV
2009
IEEE
16 years 5 months ago
Seeing through water: Image restoration using model-based tracking
A video sequence of an underwater scene taken from above the water surface suffers from severe distortions due to water fluctuations. In this paper, we simultaneously estimate t...
Yuandong Tian, Srinivasa G. Narasimhan