JINSOL KIM
JINSOL KIM

Computer Vision for Autonomous Driving

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    Concept Optimal State Estimation Lidar Automotive
    Self-Driving Cars (Coursera)
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    Question ETC
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  • Vision
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    Segmentation based on DL Depth Estimation based on DL Detection based on DL Optical Flow based on DL Multi Camera/View Fusion based on DL Vision Dataset
    CS231n Computational Photography (Udacity)
    Signal and System ETC
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Computational Photography 글 관련 글 목차

Computational Photography 글 관련 글 목차

2000, Jan 01    


1-1 Introduction 1-2 What is Computational Photography_ 1-3 Dual Photography 1-4 Panorama 1-5 Why Study Comp. Photography_ 2-1 Digital image 2-2 Point processes 2-3 Blending modes 2-4 Smoothing 2-5 Convolution and cross-correlation 2-6 Gradients 2-7 Edges 3-1 Cameras 3-2 Lenses 3-3 Exposure 3-4 Sensor 4-1 Fourier Transform 4-2 Blending 4-3 Pyramids 4-4 Cuts 4-5 Features 4-6 Feature Detection and Matching 5-1 Image Transformation 5-2 Image Morphing 5-3 Panorama 5-4 High Dynamic Range 5-5 Stereo 5-6 Photosynth 5-7 Extrinsic Camera Parameters (opt) 5-8 Intrinsic Camera Parameters (opt) 5-9 Calibrating Cameras (opt) 6-1 Video Processing 6-2 Video Textures 6-3 Video Stabilization 6-4 Panoramic Video Textures 7-1 Light Field 7-2 Projector-Camera Systems 7-3 Coded Photography


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# vision # Computational Photography