Authors:
Ferran Roure
1
;
Yago Díez
1
;
Xavier Lladó
1
;
Josep Forest
1
;
Tomislav Pribanic
2
and
Joaquim Salvi
1
Affiliations:
1
University of Girona, Spain
;
2
University of Zagreb, Croatia
Keyword(s):
Coarse Matching, Algorithm Standardization, Datasets, Benchmark, 3D Registration.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Generation Pipeline: Algorithms and Techniques
;
Image Registration
;
Shape Representation and Matching
Abstract:
Coarse Matching of point clouds is a fundamental problem in a variety of computer vision applications. While
many algorithms have been developed in recent years to address its different aspects, the lack of unified measures
and commonly agreed upon data hampers algorithm performances comparison. Additionally, a large
number of contributions are tested only with synthetic or processed data. This is a problem as the resulting
scenario is somewhat less challenging and does not always conform to practical application conditions. In
this paper, we present a new, publicly available database that aims at overcoming the existing problems, provide
researchers with a useful tool to compare new contributions to existing ones and represent a step towards
standardization. The database contains both processed and unprocessed data with attention to specially challenging
datasets. It also includes information on correct solution, presence of noise, overlap percentages and
additional information that
will allow researchers to focus only on specific parts of the matching pipeline.
(More)