sciwork 2023

Jing-En Huang

As a mathematics student with a strong passion for artificial intelligence, I enjoy leveraging my mathematical knowledge to solve real‐world computer vision tasks through AI integration. For example, I have recently developed a real‐time automatic system for tracking and analyzing basketball matches using computer vision, deep learning models, and various mathematical techniques. As hobbies, I have served as the team leader in three AI Cup competitions, each with commendable results.
( https://angusbb.github.io/AngusHuang.github.io/ )

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Sessions

12-10
14:20
30min
How Can We “Perfectly and Rapidly” Stitch Images? Exploring Improved End-to-end Techniques
Jiawei, Jing-En Huang

We present fundamental theories of image stitching, using MATLAB based on feature detection and projection. Our technique, enhanced through mismatch detection, smooth blending, and reshaping, creates flawless panoramas. Impressively, it processes 0.23 times faster than Photoshop.

Track
NYCU