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» Locally Monotonic Models for Image and Video Processing
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ICIP
2009
IEEE
15 years 1 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
MICCAI
2007
Springer
16 years 5 months ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Hervé Delingette, María Jimena Costa...
ICIP
2007
IEEE
16 years 5 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
ICIP
2005
IEEE
16 years 5 months ago
Coupled geometric and texture PDE-based segmentation
In this paper, along with recent trends in segmentation using multiple image cues, we examine the integration of modulation texture features, image contrast and region size for de...
Anastasia Sofou, Georgios Evangelopoulos, Petros M...
NIPS
1992
15 years 5 months ago
Filter Selection Model for Generating Visual Motion Signals
Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
Steven J. Nowlan, Terrence J. Sejnowski