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» Point cloud matching based on 3D self-similarity
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3DPVT
2006
IEEE
216views Visualization» more  3DPVT 2006»
15 years 5 months ago
Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models
We present a registration framework based on feature points of anatomical 3D shapes represented in the point cloud domain. Anatomical information is utilized throughout the comple...
Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregor...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 6 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ECCV
2006
Springer
16 years 1 months ago
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
ICIP
1999
IEEE
16 years 1 months ago
3D Voxel Construction Based on Epipolar Geometry
In this paper, we propose an approach for construction of a projective 3D voxel space based on epipolar geometry obtained with weak calibration. This concept of voxel space define...
Makoto Kimura, Hideo Saito, Takeo Kanade
ISVC
2010
Springer
14 years 9 months ago
3D Camera Pose Estimation Using Line Correspondences and 1D Homographies
Abstract. This paper describes a new method for matching line segments between two images in order to compute the relative camera pose. This approach improves the camera pose for i...
Irene Reisner-Kollmann, Andreas Reichinger, Werner...