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Found 5 papers, 0 papers with code
Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets
However, the noises and outliers caused by stereo matching and the heterogenous geometric errors of the poses present a challenge for existing fusion algorithms, since they mostly assume Gaussian errors and predict fused results based on data from local spatial neighborhoods, which may inherit uncertainties from multiple depths resulting in lowered accuracy.
A Review of Mobile Mapping Systems: From Sensors to Applications
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades.
Constrained Bundle Adjustment for Structure From Motion Using Uncalibrated Multi-Camera Systems
We performed our bundle adjustment using the proposed constraint and then produced 3D dense point clouds.
Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction
However, existing approaches face challenges in applying dense matching for images with different viewpoints primarily due to large differences in object scale.
3D Reconstruction through Fusion of Cross-View Images
3D recovery from multi-stereo and stereo images, as an important application of the image-based perspective geometry, serves many applications in computer vision, remote sensing and Geomatics.
