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IBPRIA
2007
Springer
15 years 4 months ago
Invariant Multi-scale Object Categorisation and Recognition
Object recognition requires that templates with canonical views are stored in memory. Such templates must somehow be normalised. In this paper we present a novel method for obtaini...
João Rodrigues, J. M. Hans du Buf
PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
15 years 2 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
IMAGING
2003
14 years 11 months ago
Group Theoretical Invariants in Color Image Processing
Many image formation processes are complex interactions of several sub-processes and the analysis of the resulting images requires often to separate the influence of these sub-pr...
Reiner Lenz, Linh Viet Tran, Thanh Hai Bui
SPIESR
2004
143views Database» more  SPIESR 2004»
14 years 11 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
MM
2010
ACM
238views Multimedia» more  MM 2010»
14 years 10 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan