.png){kind=icon}
Return
Recent developments in large-scale tie-point matching
.png){kind=icon}
PRE
AI
DOI：10.1016/j.isprsjprs.2015.09.005.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Feature matching - i.e. finding corresponding point features in different images to serve as tie-points for camera orientation - is a fundamental step in photogrammetric 3D reconstruction. If the input image set is large and unordered, which is becoming increasingly common with the spread of photogrammetric recording to untrained user groups and even crowd-sourced geodata collection, the bottleneck of the reconstruction pipeline is the matching step, for two reasons. (i) Image acquisition without detailed viewpoint planning requires a denser set of viewpoints with larger overlaps, to ensure appropriate coverage of the object of interest and to guarantee sufficient redundancy for reliable reconstruction in spite of the unoptimised network geometry. As a consequence, there is a large number of images with overlapping viewfields, resulting in a more expensive matching step than, say, a regular block geometry. (ii) In the absence of a carefully pre-planned recording sequence it is not even known which images overlap. One thus faces the even bigger challenge to determine which pairs of images even can have tie-points and should therefore be fed into the matching procedure. In this paper we attempt a systematic survey of the state-of-the-art for tie-point generation in unordered image collections, including recent developments for very large image sets. (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
Keywords:
Image matching
Unordered image sets
Feature selection
Approximate match graph
Visual vocabulary
Journal
IF:
12.2
Papers:
4.4K
Citations:
3.2W
Organization
Cited Papers
ShareSave
ShareSaveA Diffserv measurement-based admission control utilizing effective envelopes and service curves
PREAI
ShareSaveSynthesis and photoluminescent properties of Ca5(PO4)3(OH): Eu3+,Li+ nanophosphor with different morphologies.png)
Optik
OptikIF0
PREAI
ShareSaveShareSaveA comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs
PREAI
ShareSave
View more