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» Object Detection Using a Cascade of 3D Models
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ICIP
2008
IEEE
16 years 4 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...
IROS
2009
IEEE
118views Robotics» more  IROS 2009»
15 years 9 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...
MVA
2007
216views Computer Vision» more  MVA 2007»
15 years 2 months ago
Pose estimation for objects with planar surfaces using eigenimage and range data analysis
In this paper we present a novel method for estimating the object pose for 3D objects with welldefined planar surfaces. Specifically, we investigate the feasibility of estimating...
Ovidiu Ghita, Paul F. Whelan, David Vernon, John M...
ICCV
2009
IEEE
16 years 8 months ago
Modeling Deformable Objects from a Single Depth Camera
We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at...
Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang, ...
151
Voted
PR
2008
228views more  PR 2008»
15 years 2 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu