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A method for estimating three-dimensional depth value from two-dimensional images


Citation

Rahmita Wirza O.K (2018) A method for estimating three-dimensional depth value from two-dimensional images. PC:T/MY2017/050057.

Abstract

The present invention relates to a method for estimating three-dimensional depth value from two-dimensional images, characterised by the steps of placing an object (102) on a rotatable plate (103); acquiring a first view of the object (102) comprising a first image and a second image of the object (102), wherein the first image of the object (102) is captured at an angle between 0° to 360°, and the second image is captured at an angle in a range of 1° to 35° relative to the first image; obtaining two-dimensional feature point coordinates by applying Good Features to Track technique and extracting colour information, simultaneously, from the first image and the second image; filtering two-dimensional feature point coordinates; applying Pyramidal Lucas-Kanade Optical Flow technique to obtain displacement magnitudes from the two-dimensional feature point coordinates; calculating World Coordinate; estimating the three-dimensional depth value of the acquired images; and implementing inverse perspective mapping algorithm on the three-dimensional feature point coordinates.


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Additional Metadata

Item Type: Patent
Subject: Computer Vision
Subject: Computer Graphics
Subject: Information Technology
Application Number: PC:T/MY2017/050057
Filing Date: 2017-09-14
Divisions: Faculty of Computer Science and Information Technology
Keywords: 3D depth estimation; 2D images; object rotation; stereo vision; feature point extraction; Good Features to Track; Pyramidal Lucas-Kanade Optical Flow; world coordinate calculation; inverse perspective mapping; 3D reconstruction
Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure, SDG 11: Sustainable Cities and Communities, SDG 12: Responsible Consumption and Production
Depositing User: Ms. Nur Aina Ahmad Mustafa
Date Deposited: 01 Jul 2026 01:54
Last Modified: 01 Jul 2026 01:54
URI: http://psasir.upm.edu.my/id/eprint/126718
Statistic Details: View Download Statistic

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