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10.5555/839277.840110guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Finding faces in cluttered scenes using random labeled graph matching

Published: 20 June 1995 Publication History

Abstract

An algorithm for locating quasi-frontal views of human faces in cluttered scenes is presented. The algorithm works by coupling a set of local feature detectors with a statistical model of the mutual distances between facial features it is invariant with respect to translation, rotation (in the plane), and scale and can handle partial occlusions of the face. On a challenging database with complicated and varied backgrounds, the algorithm achieved a correct localization rate of 95% in images where the face appeared quasi-frontally.

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  • (2011)Real-time face recognition system with dynamic training and enhanced multi-algorithm face recognitionProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980047(119-122)Online publication date: 25-Feb-2011
  • (2010)Object recognition with statistically independent featuresRoboCup 200910.5555/2167873.2167891(204-214)Online publication date: 1-Jan-2010
  • (2010)Redundancy, redundancy, redundancyProceedings of the international conference on Multimedia information retrieval10.1145/1743384.1743416(175-184)Online publication date: 29-Mar-2010
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  1. Finding faces in cluttered scenes using random labeled graph matching

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      Information & Contributors

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      Published In

      cover image Guide Proceedings
      ICCV '95: Proceedings of the Fifth International Conference on Computer Vision
      June 1995
      ISBN:0818670428

      Publisher

      IEEE Computer Society

      United States

      Publication History

      Published: 20 June 1995

      Author Tags

      1. algorithm
      2. cluttered scenes
      3. complicated backgrounds
      4. computer vision
      5. correct localization rate
      6. database
      7. face finding
      8. face recognition
      9. facial feature
      10. feature extraction
      11. graph theory
      12. image matching
      13. image recognition
      14. images
      15. local feature detectors
      16. mutual distances
      17. partial occlusions
      18. quasi-frontal human face view location
      19. random labeled graph matching
      20. random processes
      21. statistical model
      22. varied backgrounds

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      Cited By

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      • (2011)Real-time face recognition system with dynamic training and enhanced multi-algorithm face recognitionProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980047(119-122)Online publication date: 25-Feb-2011
      • (2010)Object recognition with statistically independent featuresRoboCup 200910.5555/2167873.2167891(204-214)Online publication date: 1-Jan-2010
      • (2010)Redundancy, redundancy, redundancyProceedings of the international conference on Multimedia information retrieval10.1145/1743384.1743416(175-184)Online publication date: 29-Mar-2010
      • (2010)A novel rotation/scale invariant template matching algorithm using weighted adaptive lifting scheme transformPattern Recognition10.1016/j.patcog.2009.12.01443:7(2485-2496)Online publication date: 1-Jul-2010
      • (2009)Unsupervised constellation model learning algorithm based on voting weight control for accurate face localizationPattern Recognition10.1016/j.patcog.2008.08.02042:3(322-333)Online publication date: 1-Mar-2009
      • (2009)Social signal processingImage and Vision Computing10.1016/j.imavis.2008.11.00727:12(1743-1759)Online publication date: 1-Nov-2009
      • (2009)Region and constellations based categorization of images with unsupervised graph learningImage and Vision Computing10.1016/j.imavis.2008.09.01127:7(960-978)Online publication date: 1-Jun-2009
      • (2008)Component-based face detection and verificationPattern Recognition Letters10.1016/j.patrec.2007.09.01329:3(200-214)Online publication date: 1-Feb-2008
      • (2007)Grayscale template-matching invariant to rotation, scale, translation, brightness and contrastProceedings of the 2nd Pacific Rim conference on Advances in image and video technology10.5555/1782074.1782091(100-113)Online publication date: 17-Dec-2007
      • (2007)Object recognitionProceedings of the 3rd international conference on Advances in visual computing - Volume Part II10.5555/1779090.1779159(631-642)Online publication date: 26-Nov-2007
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