FPGA-efficient feature detector for real-time vision-based applications

• Main Author: Chandrasekar, Srivatsan
• Other Authors: Lam Siew Kei
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/70417
• Institution: Nanyang Technological University

Feature detection, extraction and matching are integral to most computer vision applications, and hence have become topics of broad and current interest. Corners or interest points are pervasive and important features. Extraction of these features minimizes processing data and is commonly used in se...