CVFeb 3
Fisheye Stereo Vision: Depth and Range Error
Leaf Jiang, Matthew Holzel, Bernhard Kaplan, Hsiou-Yuan Liu, Sabyasachi Paul, Karen Rankin, Piotr Swierczynski
arXiv:2602.02973v1
Originality Synthesis-oriented
AI Analysis
This addresses error analysis for fisheye stereo vision, which is incremental as it builds on existing methods for specific applications like robotics or surveillance.
The study derived analytical expressions for depth and range error in fisheye stereo vision systems, focusing on accuracy at large angles as a function of object distance.
This study derives analytical expressions for the depth and range error of fisheye stereo vision systems as a function of object distance, specifically accounting for accuracy at large angles.