کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
529726 | 869696 | 2010 | 8 صفحه PDF | دانلود رایگان |
We describe a novel method for propagating disparity values using directional masks and a voting scheme. The driving force of the propagation direction is image gradient, making the process anisotropic, whilst ambiguities between propagated values are resolved using a voting scheme. This kind of anisotropic densification process achieves significant density enhancement at a very low error cost: in some cases erroneous disparities are voted out, resulting not only in a denser but also a more accurate final disparity map. Due to the simplicity of the method it is suitable for embedded implementation and can also be included as part of a system-on-chip (SOC). Therefore, it can be of great interest to the sector of the machine vision community that deals with embedded and/or real-time applications.
Journal: Journal of Visual Communication and Image Representation - Volume 21, Issue 1, January 2010, Pages 67–74