메뉴 건너뛰기




Volumn 28, Issue 9, 2006, Pages 1465-1479

Keypoint recognition using randomized trees

Author keywords

Classifier design and evaluation; Edge and feature detection; Image processing and computer vision; Object recognition; Statistical; Tracking

Indexed keywords

COMPUTER VISION; EDGE DETECTION; FEATURE EXTRACTION; MOTION ESTIMATION; PATTERN MATCHING; STATISTICAL METHODS; TREES (MATHEMATICS);

EID: 33745821131     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.188     Document Type: Article
Times cited : (630)

References (31)
  • 2
    • 0001492549 scopus 로고    scopus 로고
    • "Shape Quantization and Recognition with Randomized Trees"
    • Y. Amit and D. Geman, "Shape Quantization and Recognition with Randomized Trees," Neural Computation, vol. 9, no. 7, pp. 1545-1588, 1997.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 4
    • 0030715166 scopus 로고    scopus 로고
    • "Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces"
    • J. Beis and D.G. Lowe, "Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces," Proc. Conf. Computer Vision and Pattern Recognition, pp. 1000-1006, 1997.
    • (1997) Proc. Conf. Computer Vision and Pattern Recognition , pp. 1000-1006
    • Beis, J.1    Lowe, D.G.2
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • "Bagging Predictors"
    • L. Breiman, "Bagging Predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 0031634414 scopus 로고    scopus 로고
    • "Rendering Synthetic Objects into Real Scenes: Bridging Traditional and Image-Based Graphics with Global Illumination and High Dynamic Range Photography"
    • July
    • P. Debevec, "Rendering Synthetic Objects into Real Scenes: Bridging Traditional and Image-Based Graphics with Global Illumination and High Dynamic Range Photography," Proc. ACM SIGGRAPH Conf., July 1998.
    • (1998) Proc. ACM SIGGRAPH Conf.
    • Debevec, P.1
  • 9
    • 0034981214 scopus 로고    scopus 로고
    • "Coarse-to-Fine Visual Selection"
    • Jan
    • F. Fleuret and D. Geman, "Coarse-to-Fine Visual Selection," Int'l J. Computer Vision, vol. 41, no. 1, pp. 85-107, Jan. 2001.
    • (2001) Int'l J. Computer Vision , vol.41 , Issue.1 , pp. 85-107
    • Fleuret, F.1    Geman, D.2
  • 10
    • 31744448304 scopus 로고    scopus 로고
    • "Model-Based Optimization: An Approach to Fast, Accurate, and Consistent Site Modeling from Imagery"
    • Morgan Kaufmann
    • P. Fua, "Model-Based Optimization: An Approach to Fast, Accurate, and Consistent Site Modeling from Imagery," RADIUS: Image Understanding for Intelligence Imagery, Morgan Kaufmann, 1997.
    • (1997) RADIUS: Image Understanding for Intelligence Imagery
    • Fua, P.1
  • 12
    • 24644440282 scopus 로고    scopus 로고
    • "Towards Recognizing Feature Points Using Classification Trees"
    • Technical Report IC/2004/74, EPFL
    • V. Lepetit and P. Fua, "Towards Recognizing Feature Points Using Classification Trees," Technical Report IC/2004/74, EPFL, 2004.
    • (2004)
    • Lepetit, V.1    Fua, P.2
  • 14
    • 84929251022 scopus 로고
    • "Scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales"
    • T. Lindeberg, "Scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales," J. Applied Statistics, vol. 21, no. 2, pp. 224-270, 1994.
    • (1994) J. Applied Statistics , vol.21 , Issue.2 , pp. 224-270
    • Lindeberg, T.1
  • 15
    • 0033284915 scopus 로고    scopus 로고
    • "Object Recognition from Local Scale-Invariant Features"
    • D.G. Lowe, "Object Recognition from Local Scale-Invariant Features," Proc. Int'l Conf. Computer Vision, pp. 1150-1157, 1999.
    • (1999) Proc. Int'l Conf. Computer Vision , pp. 1150-1157
    • Lowe, D.G.1
  • 16
    • 3042535216 scopus 로고    scopus 로고
    • "Distinctive Image Features from Scale-Invariant Keypoints"
    • D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, vol. 20, no. 2, pp. 91-110, 2004.
    • (2004) Int'l J. Computer Vision , vol.20 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 18
  • 19
    • 35048864308 scopus 로고    scopus 로고
    • "Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis"
    • May
    • J. Meltzer, M.-H. Yang, R. Gupta, and S. Soatto, "Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis," Proc. European Conf. Computer Vision, pp. 215-227, May 2004.
    • (2004) Proc. European Conf. Computer Vision , pp. 215-227
    • Meltzer, J.1    Yang, M.-H.2    Gupta, R.3    Soatto, S.4
  • 26
    • 0141504435 scopus 로고    scopus 로고
    • "Cloth Motion Capture"
    • Sept
    • D. Pritchard and W. Heidrich, "Cloth Motion Capture," Proc. Eurographics, vol. 22, no. 3, pp. 263-271 Sept. 2003.
    • (2003) Proc. Eurographics , vol.22 , Issue.3 , pp. 263-271
    • Pritchard, D.1    Heidrich, W.2
  • 28
    • 84944398910 scopus 로고    scopus 로고
    • "MultiView Matching for Unordered Image Sets, or 'How Do I Organize My Holiday Snaps?'"
    • F. Schaffalitzky and A. Zisserman, "MultiView Matching for Unordered Image Sets, or 'How Do I Organize My Holiday Snaps?'" Proc. European Conf. Computer Vision, pp. 414-431, 2002.
    • (2002) Proc. European Conf. Computer Vision , pp. 414-431
    • Schaffalitzky, F.1    Zisserman, A.2
  • 30
    • 0002809344 scopus 로고    scopus 로고
    • "Wide Baseline Stereo Matching Based on Local, Affinely Invariant Regions"
    • T. Tuytelaars and L. Van Gool, "Wide Baseline Stereo Matching Based on Local, Affinely Invariant Regions," Proc. British Machine Vision Conf., pp. 412-422, 2000.
    • (2000) Proc. British Machine Vision Conf. , pp. 412-422
    • Tuytelaars, T.1    Van Gool, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.