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  Scale Invariant Feature Transform with Irregular Orientation Histogram Binning

Cui, Y., Hasler, N., Thormählen, T., & Seidel, H.-P. (2009). Scale Invariant Feature Transform with Irregular Orientation Histogram Binning. In International Conference on Image Analysis and Recognition (ICIAR 2009) (pp. 258-267). Heidelberg, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19DA-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19DC-8
Genre: Conference Paper

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 Creators:
Cui, Yan1, Author           
Hasler, Nils1, Author           
Thormählen, Thorsten1, Author           
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice because of sampling artefacts, noise in the image data, and the fact that the computational effort limits the number of analyzed scale space images. In this paper we propose a modification of the descriptor's regular grid of orientation histogram bins to an irregular grid. The irregular grid approach reduces the negative effect of scale error and significantly increases the matching precision for image features. Results with a standard data set are presented that show that the irregular grid approach outperforms the original SIFT descriptor and other state-of-the-art extentions.

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Language(s): eng - English
 Dates: 2010-01-122009
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520484
DOI: 10.1007/978-3-642-02611-9_26
URI: http://www.mpi-inf.mpg.de/~hasler/download/CuiHasThoSei09igSIFT.pdf
Other: Local-ID: C125675300671F7B-68A3510DE982DAE9C1257583004A992D-CuiHasThoSei09
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Title: Untitled Event
Place of Event: Halifax, Canada
Start-/End Date: 2009-07-06 - 2009-07-08

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Title: International Conference on Image Analysis and Recognition (ICIAR 2009)
Source Genre: Proceedings
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Publ. Info: Heidelberg, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 258 - 267 Identifier: -

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 5627 Sequence Number: - Start / End Page: - Identifier: -