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» Layered Object Models for Image Segmentation
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ICIP
2006
IEEE
15 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
15 years 3 months ago
Spatial Homogeneity-Based Fuzzy c-Means Algorithm for Image Segmentation
Abstract. A fuzzy c-means algorithm incorporating the notion of dominant colors and spatial homogeneity is proposed for the color clustering problem. The proposed algorithm extract...
Bo-Yeong Kang, Dae-Won Kim, Qing Li
3DPVT
2002
IEEE
184views Visualization» more  3DPVT 2002»
15 years 2 months ago
From 3D Shape Capture to Animated Models
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
Adrian Hilton, Jonathan Starck, Gordon Collins
ISVC
2009
Springer
15 years 2 months ago
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli
Abstract. We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique...
Margret Keuper, Jan Padeken, Patrick Heun, Hans Bu...
ECCV
2006
Springer
15 years 11 months ago
A Boundary-Fragment-Model for Object Detection
The objective of this work is the detection of object classes, such as airplanes or horses. Instead of using a model based on salient image fragments, we show that object class det...
Andreas Opelt, Axel Pinz, Andrew Zisserman