Distance-dependent multimodal image registration for agriculture tasks

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

Abstract

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.

Keywords

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

Data

Language:	English
Year of publishing:	2015
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	631.3:681.586.5(045)
COBISS:	14123035
ISSN:	1424-8220
Views:	226
Downloads:	62
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	registracija senzorjev;kontrolne točke;umetne kontrolne točke;fuzija senzorjev;
Type (COBISS):	Article
Pages:	str. 20845-20862
Volume:	ǂVol. ǂ15
Issue:	ǂno. ǂ8
Chronology:	2015
DOI:	10.3390/s150820845
ID:	13418736