Adaptive segmentation for multi‐view stereo

Adaptive segmentation for multi‐view stereo

This study presents an adaptive segmentation method for pre‐processing input data to the patch‐based multi‐view stereo algorithm. A specially developed greyscale transformation is applied to the input image data, thus redefining the intensity histogram. The Nelder–Mead simplex method is used to adap...

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Bibliographic Details
Main Authors: Ray Khuboni, Bashan Naidoo
Format: Article
Language:English
Published: Wiley 2017-02-01
Series:IET Computer Vision
Subjects:
adaptive segmentation method
patch-based multiview stereo algorithm
greyscale transformation
Nelder-Mead simplex method
optimised segmentation threshold point
modified histogram
Online Access:https://doi.org/10.1049/iet-cvi.2015.0446

Internet

https://doi.org/10.1049/iet-cvi.2015.0446

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