YeeKal
cv

ch1-introduction

YeeKal • •
"#cv"

  1. 两大研究方法：

    • 传统的手办特征(Hand-Crafted Feature)与浅层模型的组合
    • 以卷基神经网络为代表的深度学习模型

  2. 研究方向

    • object detection
    • semantic segmentation
    • motion tracking
    • 3D reconstruction

  3. 参考博客与网站

  4. 计算机视觉入门系列-csdn

  5. Annotated Computer Vision Bibliography: Table of Contents

  6. 参考书籍

  7. Computer Vision : Models,Learning and Inference

  8. Learning OpenCV
  9. Computer Vision : Algorithms and Applications

  10. Circular and linear regression: Fitting circles and lines by least squares

  11. 参考课程

  12. ME 5286: Robotics-Computer Vision(2019)

  13. ME 5286: Robotics-Computer Vision(2015)
  14. CS5670: Introduction to Computer Vision

  15. CSE486

  16. sift 详解

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