Robustness of ToF and stereo fusion for high‐accuracy depth map

Autor:	Zhenshan Bao, Bowen Li, Wenbo Zhang
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	stereo fusion high-accuracy depth map driverless production video production time-of-flight cameras ToF cameras Computer applications to medicine. Medical informatics R858-859.7 Computer software QA76.75-76.765
Zdroj:	IET Computer Vision, Vol 13, Iss 7, Pp 676-681 (2019)
Druh dokumentu:	article
ISSN:	1751-9640 1751-9632
DOI:	10.1049/iet-cvi.2018.5476
Popis:	A depth map can be used in many applications such as robotic navigation, driverless, video production and 3D reconstruction. Both passive stereo and time‐of‐flight (ToF) cameras can provide the depth map for the captured real scenes, but they both have innate limitations. Since ToF cameras and passive stereo are intrinsically complementary for certain scenes, it is desirable to appropriately leverage all the available information by ToF cameras and passive stereo. As a result, this study proposes an approach to integrate ToF cameras and passive stereo to obtain high‐accuracy depth maps. The main contributions are: the first step is to design an energy cost function to utilise the depth map from ToF cameras to guide the stereo matching of passive stereo and the second step is to design their weight function for depth maps pixel‐level fusion. The experiments show that the proposed approach achieves the improved results with high accuracy and robustness.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1d3f0535153f4b46bc60cc4ab8b9ab3d Zobrazit plný text záznamu Plný text View record in DOAJ