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CVPR
2009
IEEE
17 years 1 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
ICCV
2009
IEEE
16 years 11 months ago
Multi-Scale Object Detection by Clustering Lines
Object detection in cluttered, natural scenes has a high complexity since many local observations compete for object hypotheses. Voting methods provide an efficient solution to ...
Bjorn Ommer, Jitendra Malik
ICCV
2009
IEEE
16 years 11 months ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
ICCV
2009
IEEE
16 years 11 months ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...