Open Access3D Model Reconstruction from Two Stereo Pair Images
Author(s) -
Krunal N Patel
Publication year - 2018
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit217438
Subject(s) - computer vision , artificial intelligence , construct (python library) , computer science , object (grammar) , stereo image , stereo camera , 3d reconstruction , surface (topology) , photometric stereo , surface reconstruction , stereopsis , image (mathematics) , mathematics , geometry , programming language
This paper considers the general problem of surface reconstruction from two stereo pair images with prominence on combined source of information about the surface from images data. The aim of is to construct a realistic, freeform 3D model of an object from a two stereo pair images. In this field we can easily construct the 3D model from multiple view and different known camera parameters but from minimal efforts with two images it is very difficult without much detail. This is a most ill posed under-constrained problem and relies on cues like shading, texture, occluding contour etc. Hence, we are suggesting the method which is used to reconstruct free form3D model of objects represents in the two stereo pair images