5 search results - page 1 / 1 » A Sparse and Locally Shift Invariant Feature Extractor Appli... |
ICDAR
2007
IEEE
14 years 1 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 11 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
14 years 2 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 7 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
14 years 1 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...