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» Robust Localization Using Panoramic View-Based Recognition
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ICIAR
2010
Springer
14 years 17 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
BMVC
2010
13 years 5 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICDAR
2011
IEEE
12 years 7 months ago
Comparative Study of Part-Based Handwritten Character Recognition Methods
—The purpose of this paper is to introduce three part-based methods for handwritten character recognition and then compare their performances experimentally. All of those methods...
Wang Song, Seiichi Uchida, Marcus Liwicki
CVPR
2004
IEEE
14 years 9 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
ACCV
2010
Springer
13 years 2 months ago
A Method for Text Localization and Recognition in Real-World Images
A general method for text localization and recognition in real-world images is presented. The proposed method is novel, as it (i) departs from a strict feed-forward pipeline and re...
Lukas Neumann, Jiri Matas