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CVPR
2012
IEEE
13 years 6 days ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
CVPR
2005
IEEE
14 years 11 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ICPR
2004
IEEE
15 years 11 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
TMI
2011
182views more  TMI 2011»
14 years 4 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
ICIP
2003
IEEE
15 years 3 months ago
Automatic object detection using shape information in ultrasound images
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
Pablo Cancela, Fernando Reyes, Pablo Rodríg...