计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
1期
80-83
,共4页
对称SURF%全局信息%车辆检测
對稱SURF%全跼信息%車輛檢測
대칭SURF%전국신식%차량검측
symmetrical SURF%global context%vehicle detection
SURF( Speed-Up Robust Features )是一种鲁棒且快速的算法,可以应用于多种场合,但是它不能检测对称匹配,也没有考虑全局信息。本文将对称SURF和全局信息结合起来,既通过镜像变换增强了SURF检测对称匹配特征的能力,又可以在图像有多个相似区域的情况下减少错误匹配。该算法应用在车辆检测中,实验表明结合全局信息的对称SURF提高了特征匹配的准确率,从而提高了车辆检测的准确率。
SURF( Speed-Up Robust Features )是一種魯棒且快速的算法,可以應用于多種場閤,但是它不能檢測對稱匹配,也沒有攷慮全跼信息。本文將對稱SURF和全跼信息結閤起來,既通過鏡像變換增彊瞭SURF檢測對稱匹配特徵的能力,又可以在圖像有多箇相似區域的情況下減少錯誤匹配。該算法應用在車輛檢測中,實驗錶明結閤全跼信息的對稱SURF提高瞭特徵匹配的準確率,從而提高瞭車輛檢測的準確率。
SURF( Speed-Up Robust Features )시일충로봉차쾌속적산법,가이응용우다충장합,단시타불능검측대칭필배,야몰유고필전국신식。본문장대칭SURF화전국신식결합기래,기통과경상변환증강료SURF검측대칭필배특정적능력,우가이재도상유다개상사구역적정황하감소착오필배。해산법응용재차량검측중,실험표명결합전국신식적대칭SURF제고료특정필배적준학솔,종이제고료차량검측적준학솔。
SURF( Speed-Up Robust Features ) is a robust and fast descriptor for many applications , but neither can it detect sym-metrical matches , nor can it consider global context .This paper combines symmetrical SURF with global context .It enables SURF to detect symmetrical matches through mirroring transformation and reduces mismatches when local descriptors are similar . The proposed algorithm is used in vehilce detection .The experiments show that symmetrical SURF with global context improves the accuracy of feature matches and vehicle detection .