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ECCV
2004
Springer
15 years 11 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
ICVS
2001
Springer
15 years 2 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
CVPR
1997
IEEE
15 years 1 months ago
The FERET Evaluation Methodology for Face-Recognition Algorithms
Two of the most critical requirementsin support of producing reliableface-recognition systems are a large database of facial images and a testing procedure to evaluate systems. Th...
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. R...
ITIIS
2010
343views more  ITIIS 2010»
14 years 4 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee
ICIP
2007
IEEE
15 years 4 months ago
Dual-Layer Visual Vocabulary Tree Hypotheses for Object Recognition
This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesi...
Sandra Ober, Martin Winter, Clemens Arth, Horst Bi...