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ICCV
1998
IEEE
16 years 6 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
ECCV
2010
Springer
15 years 7 months ago
Exploring Ambiguities for Monocular Non-Rigid Shape Estimation
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricti...
PAMI
2008
189views more  PAMI 2008»
15 years 4 months ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
CVRMED
1995
Springer
15 years 8 months ago
Medical Image Segmentation Using Topologically Adaptable Snakes
This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of dom...
Tim McInerney, Demetri Terzopoulos
149
Voted
ICIP
2003
IEEE
16 years 6 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...