CAJ | 학술논문

针对深度估计时两幅双焦图像特征点的误匹配问题,提出了一种基于改进形状上下文特征点的校正方法.首先引入了对尺度、视角、光照等具有不变性的SSURF特征向量,利用SSURF特征向量匹配算法在双焦单目视觉系统采集的焦距不同的两幅图像之间进行目标SSURF特征点的匹配.提出一种改进的形状上下文描述符,对局部特征匹配点对进行误匹配的校正.然后根据空间物点与所成像点距图像中心矢量大小及摄像机的焦距值之间的几何关系,利用校正后的特征点完成相关的计算从而获取目标物的深度信息.实验表明,校正后的方法进行深度估计具有较小的误差和较好的估计效果.该深度估计方法有较大的实用价值.
침대심도고계시량폭쌍초도상특정점적오필배문제,제출료일충기우개진형상상하문특정점적교정방법.수선인입료대척도、시각、광조등구유불변성적SSURF특정향량,이용SSURF특정향량필배산법재쌍초단목시각계통채집적초거불동적량폭도상지간진행목표SSURF특정점적필배.제출일충개진적형상상하문묘술부,대국부특정필배점대진행오필배적교정.연후근거공간물점여소성상점거도상중심시량대소급섭상궤적초거치지간적궤하관계,이용교정후적특정점완성상관적계산종이획취목표물적심도신식.실험표명,교정후적방법진행심도고계구유교소적오차화교호적고계효과.해심도고계방법유교대적실용개치.
@@@@A correction method for feature points mismatching is proposed based on improved shape context, aiming at the mismatching problem of corresponding points needed for the depth estimation for the bifocal image. First, the SSURF feature descriptor is presented, as it has good invariability to changes such as scaling, view angles and illumination. By the use of SSURF feature vector matching, object images which had been obtained based on a monocular stereo vision system are processed in two different focal length images, so corresponding SSURF feature points are obtained. Then, an improved shape context descriptor is proposed to correct the error matching of local feature points. The distance between dimensional target points as well as image points and the center of the image, and the geometric relationship between the camera focal lengths are used to complete the related computation and therefore to obtain the depth information of object by using the corrected feature points. The experimental results show that the correction method introduced has small errors for depth estimation and good effect for estimation.