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±êÌ⣺A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching
ÆÚ¿¯£ºMathematical Problems in Engineering
×÷ÕߣºDou, Yiwen; Hao, Kuangrong; Ding, Yongsheng; Mao, Min
ÆäËû£º2015(7):1-14. DOI: 10.1155/2015/398756
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A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching
×÷Õßou, YW (Dou, Yiwen)[ 1 ] ; Hao, KR (Hao, Kuangrong)[ 1 ] ; Ding, YS (Ding, Yongsheng)[ 1 ] ; Mao, M (Mao, Min)[ 1 ]


MATHEMATICAL PROBLEMS IN ENGINEERING


ÎÄÏ׺Å: 398756

DOI: 10.1155/2015/398756

³ö°æÄê: 2015

²é¿´ÆÚ¿¯ÐÅÏ¢

MATHEMATICAL PROBLEMS IN ENGINEERING  

³ö°æÉÌ HINDAWI PUBLISHING CORP, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA

ISSN: 1024-123X
eISSN: 1563-5147

Ñо¿ÁìÓò Engineering
Mathematics



ÕªÒª
We propose a novel Mean-Shift-based building approach in wide baseline. Initially, scale-invariance feature transform (SIFT) approach is used to extract relatively stable feature points. As to each matching SIFT feature point, it needs a reasonable neighborhood range so as to choose feature points set. Subsequently, in view of selecting repeatable and high robust feature points, Mean-Shift controls corresponding feature scale. At last, our approach is employed to depth image acquirement in wide baseline and Graph Cut algorithm optimizes disparity information. Compared with the existing methods such as SIFT, speeded up robust feature (SURF), and normalized cross-correlation (NCC), the presented approach has the advantages of higher robustness and accuracy rate. Experimental results on low resolution image and weak feature description in wide baseline confirm the validity of our approach.

¹Ø¼ü´Ê
KeyWords Plus:IMAGE; SIFT; REGIONS; SEGMENTATION; CONVERGENCE; ALGORITHM; TRACKING

×÷ÕßÐÅÏ¢
ͨѶ×÷ÕßµØÖ·: Hao, KR (ͨѶ×÷Õß) Donghua Univ, Engn Res Ctr Digitized Text & Apparel Technol, Minist Educ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China.
  ÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ
    Donghua University  


µØÖ·:  [ 1 ] Donghua Univ, Engn Res Ctr Digitized Text & Apparel Technol, Minist Educ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
  ÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ
    Donghua University  


µç×ÓÓʼþµØÖ·:krhao@dhu.edu.cn

»ù½ð×ÊÖúÖÂл
»ù½ð×ÊÖú»ú¹¹ ÊÚȨºÅ
Key Project of the National Nature Science Foundation of China  61134009  
National Nature Science Foundation of China  61473077
61473078  
Program for Changjiang Scholars from the Ministry of Education   
Specialized Research Fund for Shanghai Leading Talents   
Project of the Shanghai Committee of Science and Technology  13JC1407500  
Innovation Program of Shanghai Municipal Education Commission  14ZZ067  
²é¿´»ù½ð×ÊÖúÐÅÏ¢¹Ø±Õ»ù½ð×ÊÖúÐÅÏ¢   

This work was supported in part by the Key Project of the National Nature Science Foundation of China (no. 61134009), the National Nature Science Foundation of China (nos. 61473077 and 61473078), Program for Changjiang Scholars from the Ministry of Education, Specialized Research Fund for Shanghai Leading Talents, Project of the Shanghai Committee of Science and Technology (no. 13JC1407500), and Innovation Program of Shanghai Municipal Education Commission (no. 14ZZ067).

³ö°æÉÌ
HINDAWI PUBLISHING CORP, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA

Àà±ð / ·ÖÀà
Ñо¿·½Ïò:Engineering; Mathematics

Web of Science Àà±ð:Engineering, Multidisciplinary; Mathematics, Interdisciplinary Applications

ÎÄÏ×ÐÅÏ¢
ÎÄÏ×ÀàÐÍ:Article

ÓïÖÖ:English

Èë²ØºÅ: WOS:000366423100001

ISSN: 1024-123X

eISSN: 1563-5147

ÆäËûÐÅÏ¢
IDS ºÅ: CY5BO

Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 30

Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0

Ó°ÏìÒò×Ó 0.762  0.798  
2014  5 Äê  


JCR® Àà±ð Àà±ðÖеÄÅÅÐò JCR ·ÖÇø
ENGINEERING, MULTIDISCIPLINARY  54/85  Q3
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS  70/99  Q3


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