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» Unsupervised Learning of Invariant Features Using Video
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ICIAR
2010
Springer
14 years 1 months 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 7 months ago
Automatic Facial Expression Recognition using Bags of Motion Words
We present a fully automatic approach for facial expression recognition based on a representation of facial motion using a vocabulary of local motion descriptors. Previous studies...
Liefei Xu, Philippos Mordohai
ICCV
2009
IEEE
13 years 6 months ago
Building recognition using sketch-based representations and spectral graph matching
In this work, we address the problem of building recognition across two camera views with large changes in scales and viewpoints. The main idea is to construct a semantically rich...
Yu-Chia Chung, Tony X. Han, Zhihai He
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
13 years 6 months ago
On improving the collision property of robust hashing based on projections
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
Regunathan Radhakrishnan, Wenyu Jiang, Claus Bauer
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...