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» 3-D Object Recognition Using 2-D Views
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IROS
2009
IEEE
118views Robotics» more  IROS 2009»
15 years 10 months ago
Data-driven grasping with partial sensor data
— To grasp a novel object, we can index it into a database of known 3D models and use precomputed grasp data for those models to suggest a new grasp. We refer to this idea as dat...
Corey Goldfeder, Matei T. Ciocarlie, Jaime Peretzm...
PREMI
2005
Springer
15 years 9 months ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
CVPR
2010
IEEE
15 years 7 months ago
Bundled Depth-Map Merging for Multi-View Stereo
Depth-map merging is one typical technique category for multi-view stereo (MVS) reconstruction. To guarantee accuracy, existing algorithms usually require either sub-pixel level s...
Jianguo Li
CVPR
2003
IEEE
16 years 6 months ago
Deformable Object Tracking Using the Boundary Element Method
This paper presents a method to perform 2D deformable object tracking using the boundary element method (BEM). BEM, like the finite element method (FEM), is a technique to model a...
Michael A. Greminger, Bradley J. Nelson
CVPR
2007
IEEE
16 years 6 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...