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» Top down image segmentation using congealing and graph-cut
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ISVC
2009
Springer
13 years 12 months ago
Top-Down Segmentation of Histological Images Using a Digital Deformable Model
Abstract. This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach relies on a digital deformable model w...
François de Vieilleville, Jacques-Olivier L...
EVOW
2004
Springer
13 years 10 months ago
Top-Down Evolutionary Image Segmentation Using a Hierarchical Social Metaheuristic
Abstract. This paper presents an application of a hierarchical social (HS) metaheuristic to region-based segmentation. The original image is modelled as a simplified image graph, w...
Abraham Duarte, Ángel Sánchez, Felip...
ECCV
2006
Springer
14 years 7 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
CVPR
2005
IEEE
14 years 7 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ECCV
2008
Springer
14 years 7 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...