병렬처리를 이용한 특징점 추출 알고리즘의 고속화

초록

In this paper, we present a faster more efficient object recognition method for moving robots. Recognizing places or objects in real time can be a difficult task due to many different features. To attain this task, we implemented a Parallel feature extract detector using OpenMP. In the first step, Algorithms and codes are optimized in order to execute parallel processing. The processed algorithms in parallel are debugged for robust Performance. As a result, the intelligent conversion of the source codes to exploit OpenMP technology increase processing speed by two and half times over previous detectors while still maintaining robust performance measured using a standard evaluation set.