Accelerating FPGA-surf feature detection module by memory access reduction

• Main Authors: Mohd. Yamani Idna, Idris, Nor Bakiah, Abd. Warif, Hamzah, Arof, Noorzaily, Mohamed Noor, Ainuddin Wahid, Abdul Wahab, Zaidi, Razak
• Format: Article
• Language: English
• Published: University of Malaya 2019
• Subjects: QA76 Computer software; TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/27574/1/Accelerating%20FPGA-SURF%20feature%20detection%20module%20by%20memory%20access%20reduction.pdf; http://umpir.ump.edu.my/id/eprint/27574/; https://doi.org/10.22452/mjcs.vol32no1.4; https://doi.org/10.22452/mjcs.vol32no1.4

Feature detection is an important concept in the area of image processing to compute image abstractions of image information, which is used for image recognition and many other applications. One of the popular algorithm used is called the Speeded-Up Robust Features (SURF), which realized the scale s...