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PRL
2007
166views more  PRL 2007»
15 years 5 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICPR
2006
IEEE
16 years 7 months ago
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
Mark Pupilli, Andrew Calway
CVPR
2011
IEEE
14 years 9 months ago
Using Specular Highlights as Pose Invariant Features for 2D-3D Pose Estimation
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
Aaron Netz, Margarita Osadchy
ICCV
2011
IEEE
14 years 6 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
AIPR
2007
IEEE
16 years 9 days ago
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
Geometric structure of a scene can be reconstructed using many methods. In recent years, two prominent approaches have been digital photogrammetric analysis using passive stereo i...
Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey E....