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» Layered Object Models for Image Segmentation
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126
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ICIP
2004
IEEE
16 years 4 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...
159
Voted
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 11 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
153
Voted
CVPR
2011
IEEE
14 years 6 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
125
Voted
ECCV
2006
Springer
16 years 4 months ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
Ashish Kapoor, John M. Winn
158
Voted
ECCV
2006
Springer
16 years 4 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...