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» Learning Models for Object Recognition
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ECCV
2008
Springer
16 years 7 months ago
Co-Recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration
We introduce a new concept of co-recognition for object-level image matching between an arbitrary image pair. Our method augments putative local regionmatches to reliable object-...
Minsu Cho (Seoul National University), Young Min S...
ICCV
2003
IEEE
16 years 5 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ICPR
2006
IEEE
16 years 4 months ago
Object Predetection Based on Kernel Parametric Distribution Fitting
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
Jean-Philippe Tarel, Sabri Boughorbel
IBPRIA
2003
Springer
15 years 8 months ago
Multiple Segmentation of Moving Objects by Quasi-simultaneous Parametric Motion Estimation
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
Raúl Montoliu, Filiberto Pla
ICIP
2005
IEEE
15 years 8 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...