Search Results for author:
Found 5 papers, 2 papers with code
Anything in Any Scene: Photorealistic Video Object Insertion
Our proposed general framework encompasses three key processes: 1) integrating a realistic object into a given scene video with proper placement to ensure geometric realism; 2) estimating the sky and environmental lighting distribution and simulating realistic shadows to enhance the light realism; 3) employing a style transfer network that refines the final video output to maximize photorealism.
Self-optimizing loop sifting and majorization for 3D reconstruction
Our proposed algorithm can compare the usefulness and effectiveness of different loops with the dense map posterior (DMP) metric.
A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
It is not easy when evaluating 3D mapping performance because existing metrics require ground truth data that can only be collected with special instruments.
More Informed Random Sample Consensus
In the hypothesis sampling step of the proposed method, data is sorted with a sorting algorithm we proposed, which sorts data based on the likelihood of a data point being in the inlier set.
LoopSmart: Smart Visual SLAM Through Surface Loop Closure
Sparse feature matching is used for visual odometry and globally camera pose fine-tuning when dense loops are detected, while dense surface alignment is the way of closing large loops and solving surface mismatching problem.
Point Cloud Registration
Simultaneous Localization and Mapping
+2
