Statistical models of horizontal and vertical stochastic noise for the Microsoft Kinect™ sensor

Autor:	Michael D. DeVore, Peter A. Beling, Benjamin Y. Choo
Rok vydání:	2014
Předmět:	Noise Horizontal and vertical Noise measurement Computer science business.industry Computer vision Statistical model Artificial intelligence Object (computer science) business
Zdroj:	IECON
DOI:	10.1109/iecon.2014.7048876
Popis:	Noise characteristics for the Microsoft Kinect sensor are presented. Horizontal (x) and vertical (y) stochastic noise are measured using a novel 3D checker board. Results show that the noise is affected mostly by the depth at which the object is sensed and by the radial distance from the center of the field of view. Measurement-based models for the noise in horizontal and vertical axes are presented. The proposed model is compared against existing models in literature and shows better results by considering the horizontal and vertical location of the depth measurement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6ad673e93a7134b1ea3a0962c503a678 https://doi.org/10.1109/iecon.2014.7048876 Zobrazit plný text záznamu