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113
Voted
CVPR
2007
IEEE
16 years 2 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
CVPR
2007
IEEE
16 years 2 months ago
Robust Local Features and their Application in Self-Calibration and Object Recognition on Embedded Systems
In recent years many powerful Computer Vision algorithms have been invented, making automatic or semiautomatic solutions to many popular vision tasks, such as visual object recogn...
Clemens Arth, Christian Leistner, Horst Bischof
104
Voted
CVPR
2007
IEEE
16 years 2 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
111
Voted
CVPR
2007
IEEE
16 years 2 months ago
Dynamic 3D Scene Analysis from a Moving Vehicle
In this paper, we present a system that integrates fully automatic scene geometry estimation, 2D object detection, 3D localization, trajectory estimation, and tracking for dynamic...
Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J...
CVPR
2008
IEEE
16 years 2 months ago
Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces
In this paper, we extend a computationally efficient framework for real-time 3D tracking and segmentation to support deformable subdivision surfaces. Segmentation is performed in a...
Fredrik Orderud, Stein I. Rabben