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Published in:
2015 | OriginalPaper | Chapter
3D Depth Perception from Single Monocular Images
Authors : Hang Xu, Kan Li, FuYu Lv, JianMeng Pei
Published in: MultiMedia Modeling
Publisher: Springer International Publishing
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Depth perception from single monocular images is a challenging problem in computer vision. Since the single image is lack of features of context, we only find all the cues from the local image. This paper presents a novel method for 3D depth perception from a single monocular image containing the ground to estimate the absolute depthmaps more accurately. Different from previous methods, in our method, we first generates the ground plane depth coordinate system from a single monocular image by image-forming principle, and then locates the objects in image with the coordinate system using the geometric characteristics. At last, we provide an method to estimate the accurate depthmaps. The experiments show that our method outperforms the state-of-the-art single-image depth perception methods both in relative depth perception and absolute depth perception.