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Principal Component Analysis | Appearance Matching

Principal Component Analysis

PCA

template matching

correlation

dimensionality reduction

principal components

orthonormal basis

linear subspace

Shree Nayar

First principles

computer vision

computational imaging

computational photography

Columbia Vision Laboratory

CAVE Laboratory

Computer Science

Columbia Engineering

School of Engineering and Applied Sciences

Columbia University

Автор: First Principles of Computer Vision

Загружено: 3 июн. 2021 г.

Просмотров: 19 692 просмотра

Описание:

First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners and enthusiasts who have no prior knowledge of computer vision.

Principal Component Analysis | Appearance Matching

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