YSU CV Final

there will be some solving problem about deep learning

Motion Perception

• Motion Field
  Quotient Rule

• Optical Flow
  Lucas-Kanade flow

Object Detection

• Texture Recognition,
  Bag of words → Bag of features
  Bag of features

• Feature Extraction
• Vector Quantizer
• PCA

Object Classification (

Discriminative Model)

• K-nearest Neighbor

• SVM 수학적보단 고차원 개념 수준정도만 나온다
• summary; inner product between the test point and suport vectors

Neural Network

• Perceptron

• Gradient Descent
• Vanishing Gradient
• Activation Function

• Back Propagation

CNN

• Locally Connected Layer

• Convolutional Layer




total parameter

• Pooling Layer