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CVPR
2007
IEEE
16 years 8 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
ICCV
2001
IEEE
16 years 8 months ago
Deriving Intrinsic Images from Image Sequences
Intrinsic images are a useful midlevel description of scenes proposed by Barrow and Tenenbaum [1]. An image is decomposed into two images: a reflectance image and an illumination ...
Yair Weiss
ICPR
2008
IEEE
16 years 7 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
ICPR
2000
IEEE
16 years 7 months ago
Comparison of Tracking Techniques Applied to Digital PIV
Digital Particle Image Velocimetry (DPIV) aims at flow visualisation and measurement of flow dynamics in numerous applications, including hydrodynamics, combustion processes and a...
Dmitry Chetverikov, Judit Verestóy, Marcell...
CVPR
2010
IEEE
16 years 3 months ago
Direct Image Alignment of Projector-Camera Systems with Planar Surfaces
Projector-camera systems use computer vision to analyze their surroundings and display feedback directly onto real world objects, as embodied by spatial augmented reality. To be e...
Samuel Audet, Masatoshi Okutomi, Masayuki Tanaka