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» Learning to Estimate Scenes from Images
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152
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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
15 years 9 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
134
Voted
ICRA
2010
IEEE
222views Robotics» more  ICRA 2010»
15 years 3 months ago
Pose estimation in heavy clutter using a multi-flash camera
We propose a novel solution to object detection, localization and pose estimation with applications in robot vision. The proposed method is especially applicable when the objects ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...
ICPR
2002
IEEE
16 years 5 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
122
Voted
ICIAR
2007
Springer
15 years 10 months ago
Solving the Inverse Problem of Image Zooming Using "Self-Examples"
Abstract. In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming...
Mehran Ebrahimi, Edward R. Vrscay
AAAI
2012
13 years 7 months ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...