Estimation of Defocus Blur in Virtual Environments Comparing Graph Cuts and Convolutional Neural Network

Estimation of Defocus Blur in Virtual Environments Comparing Graph Cuts and Convolutional Neural Network

Indiana University-Purdue University Indianapolis (IUPUI) === Depth estimation is one of the most important problems in computer vision. It has attracted a lot of attention because it has applications in many areas, such as robotics, VR and AR, self-driving cars etc. Using the defocus blur of a came...

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Bibliographic Details
Main Author: Chowdhury, Prodipto
Other Authors: Christopher, Lauren
Language:en_US
Published: 2018
Subjects:
3D
Graph cuts
Depth estimation
Deep learning
Virtual environments
Convolutional neural network
Defocus blur
Online Access:http://hdl.handle.net/1805/17925

Internet

http://hdl.handle.net/1805/17925

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