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ICCV
2009
IEEE
14 years 8 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
ICRA
2009
IEEE
266views Robotics» more  ICRA 2009»
14 years 8 months ago
CAD-based recognition of 3D objects in monocular images
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of ...
Markus Ulrich, Christian Wiedemann, Carsten Steger
ATAL
2007
Springer
15 years 4 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso
80
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ACCV
2006
Springer
15 years 4 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon
3DPVT
2006
IEEE
204views Visualization» more  3DPVT 2006»
15 years 4 months ago
Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order ...
Luca Ballan, Guido Maria Cortelazzo