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cv4eya's Introduction

EyaCV

Quick Revue of Traditional Computer Vision Techniques

color (object localisation / skin region) + morphological filters

  • different spaces : RGB, HSV, etc.

object detection (where is Waldo / clef de sol)

  • sliding window
  • pyramid
  • template matching
  • non maximum suppression

texture (hortensia Kaggle classification)

  • fourrier transform (cosine transform)
  • Local Binary Pattern

form (cars detection)

  • Histogram of Gradient
  • Viola & Jones

point detectors (paper corner finding) + affine transformation

  • Harris Corner
  • SIFT Detector (SURF faster, HORB open source)
  • Paronamic matching

descriptors (naive bag of word boats vs planes image classification)

  • SIFT, Horb etc
  • scene descriptor : GIST, bag of features
  • image retrieval / classification

segmentation (shadow detection)

  • color based segmentation
  • mean shift, grab cut, CRF

neural network (flower classification)

  • classification (VGG, ResNet, Inception, etc.)

More on neural networks in another repository...

  • localisation (Yolo)
  • segmentation (FB)
  • one shot learning (siamese network)
  • generation (GAN)

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