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CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
14 years 8 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
CVPR
2010
IEEE
14 years 8 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
CVPR
2010
IEEE
14 years 8 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys
CVPR
2010
IEEE
14 years 8 months ago
Efficient Histogram-Based Sliding Window
Many computer vision problems rely on computing histogram-based objective functions with a sliding window. A main limiting factor is the high computational cost. Existing computat...
Yichen Wei, Litian Tao
CVPR
2010
IEEE
14 years 8 months ago
Admissible Linear Map Models of Linear Cameras
This paper presents a complete analytical characterization of a large class of central and non-central imaging devices dubbed linear cameras by Ponce [9]. Pajdla [7] has shown tha...
Guillaume Batog, Xavier Goaoc, Jean Ponce
CVPR
2010
IEEE
14 years 8 months ago
A Framework for Ultra High Resolution 3D Imaging
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2 ). Our approach couples a standard structured-light setup and ...
Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Bro...
CVPR
2010
IEEE
14 years 8 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
CVPR
2010
IEEE
14 years 8 months ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga
CVPR
2010
IEEE
1248views Computer Vision» more  CVPR 2010»
14 years 8 months ago
Food Recognition Using Statistics of Pairwise Local Features
Food recognition is difficult because food items are deformable objects that exhibit significant variations in appearance. We believe the key to recognizing food is to exploit the...
Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukth...
CVPR
2010
IEEE
14 years 8 months ago
Tiered Scene Labeling with Dynamic Programming
Dynamic programming (DP) has been a useful tool for a variety of computer vision problems. However its application is usually limited to problems with a one dimensional or low tre...
Pedro Felzenszwalb, Olga Veksler