Image Recognition in Digital Merchandising Industry

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by Vitalii Yuryev

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Image Recognition in Digital Merchandising Industry

  1. 1. Image Recognitionin Digital Merchandising Industry
  2. 2. What is Merchandising?
  3. 3. Digital Merchandising Benefits• Improved Service Level Monitoring• Reduced Data Collection Time• Out of Stock Reduction• Increase in SKU Availability• Merchandiser Self-discipline
  4. 4. What is Computer Vision?“Computer vision is a field that includesmethods for acquiring, processing,analyzing, and understanding images inorder to produce numerical or symbolicinformation”Wikipedia
  5. 5. Computer Vision EvolutionComputerVisionArtificialIntelligenceImageProcessingPatternRecognitionRoboticsMachine Vision1960s1970sEdgedetectionLine Labeling1980s1990s Face trackingFacerecognition2000sFeature-basedrecognitionImage-basedmodelingImage-basedrenderingRegion-basedrecognitionHigh dynamicrangeEmotionrecognitionRoboticVisionNeural networkbased recognition2010sPhysicsFirst digitalcameraMegapixelsensorCMOS chipSURFSIFTORBBRIEFFREAKHOG GLOHHaar-cascadesViola-JonesFASTLatent SVMDeep NNLSTM NNMD LSTM NNRPROPFR NNBoW
  6. 6. Recognition Steps
  7. 7. Image acquisition
  8. 8. Image preprocessing
  9. 9. Feature extraction
  10. 10. Descriptor extraction
  11. 11. Descriptor matching
  12. 12. Filtering
  13. 13. Object Identification
  14. 14. Demo
  15. 15. Algorithms and Libraries
  16. 16. Computer Vision Algorithms• SURF• SIFT• FAST• FREAK• ORB• RANSAC
  17. 17. Computer Vision Libraries• OpenCV• EmguCV• FastCV• JavaCV
  18. 18. Results
  19. 19. 01020304050607080900.3 0.6 0.7 0.8 0.9 1 1.2 2 3 5 8RecognitionqualityImage sizeRecognition quality depending on image size
  20. 20. ?

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