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» Robust Duplicate Detection of 2D and 3D Objects
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ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
15 years 3 months ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
ECCV
2008
Springer
15 years 11 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
CVPR
2012
IEEE
13 years 2 days ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
ICCV
2003
IEEE
15 years 11 months ago
Efficient, Robust and Accurate Fitting of a 3D Morphable Model
3D Morphable Models, as a means to generate images of a class of objects and to analyze them, have become increasingly popular. The problematic part of this framework is the regis...
Sami Romdhani, Thomas Vetter
110
Voted
ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
15 years 3 months ago
Real-time 3D Model-based Tracking: Combining Edge and Texture Information
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
Muriel Pressigout, Éric Marchand