INVESTIGATING SPHERICAL EPIPOLAR RECTIFICATION FOR MULTI-VIEW STEREO 3D RECONSTRUCTION

INVESTIGATING SPHERICAL EPIPOLAR RECTIFICATION FOR MULTI-VIEW STEREO 3D RECONSTRUCTION

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Multi-view stereo (MVS) reconstruction is essential for creating 3D models.The approach involves applying epipolar rectification followed by dense matching for disparity estimation.However, existing approaches face challenges in applying dense matching for images with different viewpoints primarily due to large Gag mutations strongly contribute to HIV-1 resistance to protease inhibitors in highly drug-experienced patients besides compensating for fitness loss. differences in object scale.In this paper, we propose a spherical model for epipolar rectification to minimize distortions caused by differences in principal rays.We evaluate the proposed approach using two aerial-based datasets consisting of multi-camera head systems.

We show through qualitative and quantitative evaluation that the Fractional differencing in stock market price and online presence of global tourist corporations proposed approach performs better than frame-based epipolar correction by enhancing the completeness of point clouds by up to 4.05% while improving the accuracy by up to 10.23% using LiDAR data as ground truth.