Optimizing Monocular Cues for Depth Estimation from Outdoor Images

摘要

Depth Estimation poses vario us challenges and has wide range applications.Depth estimation or extraction refers to the set of techniques and algorithm's aiming to obtain distance of each and every pixel from the camera view point. In this paper, monocular cues are optimized for depth estimation from outdoor images.Experimental results of optimization of monocular cues shows that best performance is achieved in a mo nocular cue named haze on the basis of parameters such as RMS(root means square) error,total set of features and computation time