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» Robust Algorithms for Object Localization
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ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 3 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...
3DPVT
2004
IEEE
159views Visualization» more  3DPVT 2004»
14 years 9 days ago
Blind Watermarking of 3D Shapes using Localized Constraints
This paper develops a digital watermarking methodology for 3-D graphical objects defined by polygonal meshes. In watermarking or fingerprinting the aim is to embed a code in a giv...
Adrian G. Bors
ICIP
2007
IEEE
14 years 2 months ago
Coding Artifacts Robust Resolution Up-conversion
In this paper, an integrated resolution up-conversion and compression artifacts removal algorithm is proposed. Local image patterns are classified into object details or coding ar...
Ling Shao, Hao Hu, Gerard de Haan
ICIP
2005
IEEE
14 years 10 months ago
Tracking points on deformable objects with ranklets
We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...
ICCV
2003
IEEE
14 years 10 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...