Object recognition with ORB and its Implementation on FPGA
نویسندگان
چکیده
Object recognition and tracking has a wide spectrum of promising applications. Feature-based algorithms are well-suited for such operations like Speeded Up Robust Features (SURF), SIFT (Scale-invariant feature transform), ORB (Oriented FAST and Rotated BRIEF) algorithm has been proved to achieve optimal results. ORB algorithm builds on the well-known FAST key point detector and the recently-developed BRIEF descriptor. This paper gives an overview of a general methods of object recognition and significance of ORB over SIFT and SURF in different cases. This paper also provides an idea to implement ORB algorithm on FPGA to increase the execution speed by utilizing the reconfigurable nature and pipelining of the FPGA.
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