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» Large Scale Learning of Active Shape Models
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ICPR
2010
IEEE
15 years 2 days ago
An RST-Tolerant Shape Descriptor for Object Detection
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
Chih-Wen Su, Mark Liao, Yu-Ming Liang, Hsiao-Rong ...
TIP
1998
456views more  TIP 1998»
13 years 5 months ago
Snakes, Shapes, and Gradient Vector Flow
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...
Chenyang Xu, Jerry L. Prince
99
Voted
CVPR
2005
IEEE
15 years 3 months ago
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
Amit K. Roy Chowdhury
AGILEDC
2003
IEEE
15 years 3 months ago
Evolving Agile in the Enterprise: Implementing XP on a Grand Scale
How can XP or other agile methods be used in large corporate IT shops? One large company found out, making XP the official corporate software development methodology for all proje...
Michael K. Spayd
ICML
2004
IEEE
15 years 3 months ago
Active learning using pre-clustering
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
Hieu Tat Nguyen, Arnold W. M. Smeulders