Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework

Autor:	John L. Barron, Wang Kay Jacky Ngai, Hagen Spies
Rok vydání:	2003
Předmět:	Computer science Depth map Error analysis business.industry Computer graphics (images) Optical flow Computer vision Kalman filter Artificial intelligence business Synthetic data
Zdroj:	Geometry, Morphology, and Computational Imaging ISBN: 9783540009160 Theoretical Foundations of Computer Vision
Popis:	We present a Kalman filter framework for recovering depth from the time-varying optical flow fields generated by a camera translating over a scene by a known amount. Synthetic data made from ray traced cubical, cylinderal and spherical primitives are used in the optical flow calculation and allow a quantitative error analysis of the recovered depth.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::187ea5fb119ade2ae02d1fd9d48b4c85 https://doi.org/10.1007/3-540-36586-9_22 Zobrazit plný text záznamu