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» Learning to localize detected objects
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DAGM
2007
Springer
14 years 4 months ago
Holomorphic Filters for Object Detection
It is well known that linear filters are not powerful enough for many low-level image processing tasks. But it is also very difficult to design robust non-linear filters that res...
Marco Reisert, Olaf Ronneberger, Hans Burkhardt
3DIM
2005
IEEE
14 years 3 months ago
Multi-Resolution Modeling and Locally Refined Collision Detection for Haptic Interaction
The computational cost of a collision detection (CD) algorithm on polygonal surfaces depends highly on the complexity of the models. A novel “locally refined” approach is intr...
Peiran Liu, Xiaojun Shen, Nicolas D. Georganas, Ge...
ICML
2007
IEEE
14 years 10 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
CVPR
2007
IEEE
15 years 15 hour ago
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
ICWL
2004
Springer
14 years 3 months ago
Crossing Boundaries with Web-Based Tools for Learning Object Evaluation
Learning object repositories and evaluation tools have the potential to serve as sites for interaction among different cultures and communities of practice. This paper outlines the...
Jerry Zhigang Li, John C. Nesbit, Griff Richards