Distance-dependent multimodal image registration for agriculture tasks

Ron Berenstein (Avtor), Marko Hočevar (Avtor), Tone Godeša (Avtor), Yael Edan (Avtor), Ohad Ben-Shahar (Avtor)

Povzetek

Image registration is the process of aligning two or more images of the same scene taken at different times; from different viewpoints; and/or by different sensors. This research focuses on developing a practical method for automatic image registration for agricultural systems that use multimodal sensory systems and operate in natural environments. While not limited to any particular modalities; here we focus on systems with visual and thermal sensory inputs. Our approach is based on pre-calibrating a distance-dependent transformation matrix (DDTM) between the sensors; and representing it in a compact way by regressing the distance-dependent coefficients as distance-dependent functions. The DDTM is measured by calculating a projective transformation matrix for varying distances between the sensors and possible targets. To do so we designed a unique experimental setup including unique Artificial Control Points (ACPs) and their detection algorithms for the two sensors. We demonstrate the utility of our approach using different experiments and evaluation criteria.

Ključne besede

sensor registration;control points;artificial control points;sensor fusion;

Podatki

Jezik:	Angleški jezik
Leto izida:	2015
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FS - Fakulteta za strojništvo
UDK:	631.3:681.586.5(045)
COBISS:	14123035
ISSN:	1424-8220
Št. ogledov:	226
Št. prenosov:	62
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	registracija senzorjev;kontrolne točke;umetne kontrolne točke;fuzija senzorjev;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 20845-20862
Letnik:	ǂVol. ǂ15
Zvezek:	ǂno. ǂ8
Čas izdaje:	2015
DOI:	10.3390/s150820845
ID:	13418736