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A machine vision system for Coral Reef monitoring

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dc.contributor.advisor Dr. Matthew Dailey (Chairperson) en_US
dc.contributor.advisor Dr. Sumanta Guha (Member) en_US
dc.contributor.advisor Dr. Honda Kiyoshi (Member) en_US
dc.contributor.author Rassarin Chinnachodteeranun en_US
dc.date.accessioned 2015-01-12T10:45:45Z
dc.date.available 2015-01-12T10:45:45Z
dc.date.issued 2007 en_US
dc.identifier.other AIT Thesis no.IM-07-16 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/597
dc.description 78 p. en_US
dc.description.abstract Coral reefs are important for ecology. They are currently destroyed by many factors. From that reason, there has been a great deal or research on coral reefs in order to protect and restore them from destruction which is required information of coral reefs health. To understand the health of coral reefs, scientists have to analyze enormous amount of data and from many perspectives which is often extracted from 2D images contextual data that is collected along with the images. This data is inconvenient and time consuming to analyze. This thesis proposes a software component enabling ecologists to assess the health of a coral reef by combining information from multiple underwater photographs into a 3D scene. The system performs 3D reconstruction of coral reef scenes from 2D uncalibrated images. The reconstruction is divided into two parts: sparse and dense reconstruction. A prototype system incorporates algorithms for 3D coral reef scene generation. The system is a promising step towards automatic 3D visualization of coral reef health. en_US
dc.description.sponsorship RTG Fellowship en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Coral reefs en_US
dc.subject 3D en_US
dc.subject 2D en_US
dc.subject Machine vision system en_US
dc.title A machine vision system for Coral Reef monitoring en_US
dc.type Thesis en_US


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