5 search results - page 1 / 1 » A Sparse and Locally Shift Invariant Feature Extractor Appli... |
ICDAR
2007
IEEE
13 years 10 months ago
2007
IEEE
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
EUROS
2006
13 years 8 months ago
2006
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
SAC
2010
ACM
13 years 11 months ago
2010
ACM
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
PAMI
2007
13 years 3 months ago
2007
— This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our wo...
ICIP
2008
IEEE
13 years 10 months ago
2008
IEEE
Conventional electrophotographic printers tend to produce Moir´e artifacts when used for printing images scanned from printed material such as books and magazines. We propose a n...