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CVPR
2010
IEEE
14 years 5 months ago
Sensor Saturation in Fourier Multiplexed Imaging
Optically multiplexed image acquisition techniques have become increasingly popular for encoding different exposures, color channels, light fields, and other properties of light ...
Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich
CVPR
2010
IEEE
14 years 5 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
CVPR
2010
IEEE
14 years 5 months ago
Moving Vistas: Exploiting Motion for Describing Scenes
Scene recognition in an unconstrained setting is an open and challenging problem with wide applications. In this paper, we study the role of scene dynamics for improved representa...
Nitesh Shroff, Pavan Turaga, Rama Chellappa
CVPR
2010
IEEE
14 years 5 months ago
Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion
In this paper, we present a new framework for non-rigid structure from motion (NRSFM) that simultaneously addresses three significant challenges: severe occlusion, perspective ca...
Shengqi Zhu, Li Zhang, Brandon Smith
CVPR
2010
IEEE
14 years 5 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
CVPR
2010
IEEE
14 years 5 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
CVPR
2010
IEEE
14 years 5 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-ar...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M...
CVPR
2010
IEEE
1872views Computer Vision» more  CVPR 2010»
14 years 5 months ago
New Features and Insights for Pedestrian Detection
Despite impressive progress in people detection the performance on challenging datasets like Caltech Pedestrians or TUD-Brussels is still unsatisfactory. In this work we show that...
Stefan Walk, Nikodem Majer, Konrad Schindler, Bern...
CVPR
2010
IEEE
14 years 5 months ago
Exploiting Hierarchical Context on a Large Database of Object Categories
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models ...
Myung Jin Choi, Joseph Lim, Antonio Torralba, Alan...
CVPR
2010
IEEE
14 years 5 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan