RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR
An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood info...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
ICT Academy of Tamil Nadu
2014-08-01
|
Series: | ICTACT Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://ictactjournals.in/paper/IJIVP_Splissue_Paper_3_873-878.pdf |
id |
doaj-12f1cccdef0e4779940d0362df3288d7 |
---|---|
record_format |
Article |
spelling |
doaj-12f1cccdef0e4779940d0362df3288d72020-11-25T00:15:26ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022014-08-0151873878RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTORHongwei Ying0Jiatao Song1Jinhe Wang2Xuena Qiu3Wang Wei4Zhongxiu Yang5School of Electron and Information Engineering, Ningbo University of Technology, ChinaSchool of Electron and Information Engineering, Ningbo University of Technology, ChinaSchool of Electron and Information Engineering, Ningbo University of Technology, ChinaSchool of Electron and Information Engineering, Ningbo University of Technology, ChinaSchool of Electron and Information Engineering, Ningbo University of Technology, ChinaSchool of Electron and Information Engineering, Ningbo University of Technology, ChinaAn extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood information of feature points which are extremes of image scale space, obtained by constructing the image pyramid using certain signal transform method. But build the image pyramid always consumes a large amount of computing and storage resources, is not conducive to the actual applications development. This paper presents a dual multiscale FAST algorithm, it does not need to build the image pyramid, but can extract feature points of scale extreme quickly. Feature points extracted by proposed method have the characteristic of multiscale and rotation Invariant and are fit to construct the local feature descriptor.http://ictactjournals.in/paper/IJIVP_Splissue_Paper_3_873-878.pdfFeatures ExtractionMultiscaleFeature DescriptorCorner DetectionRotation Invariant |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongwei Ying Jiatao Song Jinhe Wang Xuena Qiu Wang Wei Zhongxiu Yang |
spellingShingle |
Hongwei Ying Jiatao Song Jinhe Wang Xuena Qiu Wang Wei Zhongxiu Yang RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR ICTACT Journal on Image and Video Processing Features Extraction Multiscale Feature Descriptor Corner Detection Rotation Invariant |
author_facet |
Hongwei Ying Jiatao Song Jinhe Wang Xuena Qiu Wang Wei Zhongxiu Yang |
author_sort |
Hongwei Ying |
title |
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR |
title_short |
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR |
title_full |
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR |
title_fullStr |
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR |
title_full_unstemmed |
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR |
title_sort |
research on feature points extraction method for binary multiscale and rotation invariant local feature descriptor |
publisher |
ICT Academy of Tamil Nadu |
series |
ICTACT Journal on Image and Video Processing |
issn |
0976-9099 0976-9102 |
publishDate |
2014-08-01 |
description |
An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood information of feature points which are extremes of image scale space, obtained by constructing the image pyramid using certain signal transform method. But build the image pyramid always consumes a large amount of computing and storage resources, is not conducive to the actual applications development. This paper presents a dual multiscale FAST algorithm, it does not need to build the image pyramid, but can extract feature points of scale extreme quickly. Feature points extracted by proposed method have the characteristic of multiscale and rotation Invariant and are fit to construct the local feature descriptor. |
topic |
Features Extraction Multiscale Feature Descriptor Corner Detection Rotation Invariant |
url |
http://ictactjournals.in/paper/IJIVP_Splissue_Paper_3_873-878.pdf |
work_keys_str_mv |
AT hongweiying researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor AT jiataosong researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor AT jinhewang researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor AT xuenaqiu researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor AT wangwei researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor AT zhongxiuyang researchonfeaturepointsextractionmethodforbinarymultiscaleandrotationinvariantlocalfeaturedescriptor |
_version_ |
1725386830911635456 |