Authors:
Hideyuki Kume
;
Tomokazu Sato
and
Naokazu Yokoya
Affiliation:
Nara Institute of Science and Technology, Japan
Keyword(s):
Structure-from-Motion, Bundle Adjustment, Aerial Image, RANSAC.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
This paper proposes a new pipeline of Structure-from-Motion that uses feature matches between ground-
view and aerial images for removing accumulative errors. In order to find good matches from unreliable
matches, we newly propose RANSAC based outlier elimination methods in both feature matching and bundle
adjustment stages. To this end, in the feature matching stage, the consistency of orientation and scale extracted
from images by a feature descriptor is checked. In the bundle adjustment stage, we focus on the consistency
between estimated geometry and matches. In experiments, we quantitatively evaluate performances of the
proposed feature matching and bundle adjustment.