scholarly journals 3D Model Reconstruction from Two Stereo Pair Images

2018 ◽  
pp. 295-305
Author(s):  
Krunal N Patel
Keyword(s):  
General Problem ◽  
3D Model ◽  
Stereo Pair ◽  
Model Reconstruction ◽  
Constrained Problem ◽  
3D Model Reconstruction ◽  
Ill Posed ◽  
Camera Parameters ◽  
Source Of Information ◽  
Occluding Contour

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

Sequential Depth Completion With Confidence Estimation for 3D Model Reconstruction

2021 ◽  
Vol 6 (2) ◽  
pp. 327-334
Author(s):  
Khang Truong Giang ◽  
Soohwan Song ◽  
Daekyum Kim ◽  
Sunghee Choi
Keyword(s):  
3D Model ◽  
Model Reconstruction ◽  
Confidence Estimation ◽  
3D Model Reconstruction

Development of AR-based scanning support system for 3D model reconstruction of work sites

2022 ◽  
pp. 1-15
Author(s):  
Yuki Harazono ◽  
Hirotake Ishii ◽  
Hiroshi Shimoda ◽  
Yasuyoshi Taruta ◽  
Yuya Kouda
Keyword(s):  
Support System ◽  
3D Model ◽  
Model Reconstruction ◽  
3D Model Reconstruction

3D Model Reconstruction from Multi-views of 2D Images using Radon Transform

2015 ◽  
Vol 74 (6) ◽  
Author(s):  
Siti Syazalina Mohd. Sobani ◽  
Nasrul Humaimi Mahmood ◽  
Nor Aini Zakaria ◽  
Ismail Ariffin
Keyword(s):  
Radon Transform ◽  
3D Model ◽  
Digital Camera ◽  
Computation Method ◽  
Model Reconstruction ◽  
Fixed Sequence ◽  
Model Object ◽  
3D Model Reconstruction ◽  
Images Processing ◽  
2D Images

This paper presents a simple computation method to reconstruct 3-dimensional (3D) model from a sequence of 2-dimensional (2D) images using a multiple-view camera setup. The 3D model is acquired by applying several images processing on few 2D images captured by digital camera with different angle of views. The setup for this study consisted of a digital camera mounted on a tripod stand focusing at a block of model object on a turntable with black floor and background. 36 different angles are used to capture the images where every view angle differs by ten degree (10°) with another view in a fixed sequence. The image processing applied on all 2D images to be reconstructed as 3D surface are image segmentation, Radon transform (RT), image filtering, morphological operation, edge detection, and boundary extraction. The results for 3D model reconstruction shows it is well reconstructed, with a smooth texture obtained using 3D mesh and Delaunay triangulation, while the shape is nearly identical to the original model while the remaining are distinguishable.  

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