Bleyer, M., C. Rhemann, and C. Rother, 2011. PatchMatch stereo-
stereo matching with slanted support windows,
Proceedings of
the British Machine Vision Association
, pp. 1–11.
Blumenthal-Barby, D.C., P. Eisert, 2014. High-resolution depth
for binocular image-based modeling,
Computers & Graphics
39
:89–100.
Boykov, Y., O. Veksler, and R. Zabih, 2001. Fast approximate energy
minimization via graph cuts,
IEEE Transactions on Pattern
Analysis and Machine Intelligence
, 23:1222–1239.
Felzenszwalb, P.F., and D.P. Huttenlocher, 2004. Efficient graph-based
image segmentation,
International Journal of Computer Vision
,
59:167–181.
Fischler, M.A., and R.C. Bolles, 1981. Random sample consensus: A
paradigm for model fitting with applications to image analysis
and automated cartography,
Communications of the ACM
,
24:381–395.
Förstner, W., 1986. A feature based correspondence algorithm for
image matching,
International Archives of Photogrammetry,
Remote Sensing and Spatial Information Sciences
, 26(3):150–166.
Gamba, P., and B. Houshmand, 2000. Digital surface models and
building extraction: A comparison of IFSAR and LIDAR data,
I
EEE Transactions on Geoscience and Remote Sensing
, 38:1959-
1968.
Geiger, A., M. Roser, and R. Urtasun, 2010. Efficient large-scale stereo
matching,
Proceedings of the Asian Conference on Computer
Vision
, Springer, pp. 25–38.
Gruen, A., 1985. Adaptive least squares correlation: A powerful image
matching technique,
South African Journal of Photogrammetry,
Remote Sensing and Cartography
, 14(3):175–187.
Gruen, A., and E. Baltsavias, 1988. Geometrically constrained
multiphoto matching,
Photogrammetric Engineering & Remote
Sensing
, 54(5):633–641.
Gruen, A., 2008. Reality-based generation of virtual environments for
digital earth,
International Journal of Digital Earth
, 1:88–106.
Gruen, A., 2012. Development and status of image matching in
photogrammetry,
The Photogrammetric Record
, 27(137):36–57.
Harris, C., and M. Stephens, 1988. A combined corner and
edge detector,
Proceedings of the Alvey Vision Conference
,
Manchester, UK, p. 50.
Helpke, C., 1995. State-of-the-art of digital photogrammetric
workstations for topographic applications,
Photogrammetric
Engineering & Remote Sensing
, 61:49–56.
Hirschmuller, H., 2011. Semi-global matching-motivation,
developments and applications,
Proceedings of Photogrammetric
Week
. Hyyppae, J.M., U. Pyysalo, H. Hyyppae, H.G. Haggren, and
G.S. Ruppert, G.S., 2000. Accuracy of laser scanning for DTM
generation in forested areas,
Proceedings of AeroSense 2000
,
International Society for Optics and Photonics, pp. 119–130.
Kolmogorov, V., and R. Zabih, 2001. Computing visual
correspondence with occlusions using graph cuts,
Proceedings
of the Eighth IEEE International Conference on Computer Vision
,
pp. 508–515.
Lhuillier, M., and L. Quan, 2002. Match propagation for image-based
modeling and rendering,
IEEE Transactions on Pattern Analysis
and Machine Intelligence
, 24:1140–1146.
Li, D., G. Zhang, Z. Wu, and L. Yi, 2010. An edge embedded marker-
based watershed algorithm for high spatial resolution remote
sensing image segmentation,
IEEE Transactions on Image
Processing
, 19:2781–2787.
Lowe, D.G., 1999. Object recognition from local scale-invariant
features,
Proceedings of the Seventh IEEE International
Conference on Computer Vision
, IEEE, pp. 1150–1157.
Lowe, D.G., 2004. Distinctive image features from scale-invariant
keypoints,
International Journal of Computer Vision
, 60:91–110.
Meer, P., and B. Georgescu, 2001. Edge detection with embedded
confidence,
IEEE Transactions on Pattern Analysis and Machine
Intelligence
, 23:1351–1365.
Megyesi, Z., and D. Chetverikov, 2004. Affine propagation for surface
reconstruction in wide baseline stereo,
Proceedings of the 17
th
International Conference on Pattern Recognition
, pp. 76–79.
Moravec, H.P., 1981. Rover visual obstacle avoidance,
Proceedings of
the 7
th
International Joint Conference on Artificial Intelligence-
Volume 2
, Morgan Kaufmann Publishers, Inc., pp. 785–790.
Rosten, E., and T. Drummond, 2006. Machine learning for high-speed
corner detection,
Proceedings of the European Conference on
Computer Vision
, Springer, pp. 430–443.
Shan, J. and C.K. Toth, 2008.
Topographic Laser Ranging and
Scanning: Principles and Processing
, Taylor & Francis Group/
CRC Press, Boca Raton, Florida.
Silva, C., and J.Santos-Victor, 2000. Intrinsic images for dense stereo
matching with occlusions, Proceedings of Computer Vision-
ECCV 2000, pp. 100–114.
Smith, S.M., and J.M. Brady, 1997. SUSAN - A new approach to
low level image processing,
International Journal of Computer
Vision
, 23:45–78.
Stentoumis, C., L. Grammatikopoulos, I. Kalisperakis, and G. Karras,
2014. On accurate dense stereo-matching using a local adaptive
multi-cost approach,
ISPRS Journal of Photogrammetry and
Remote Sensing
, 91:29–49.
Sun, J., N.-N. Zheng, and H.-Y. Shum, 2003. Stereo matching using
belief propagation,
IEEE Transactions on Pattern Analysis and
Machine Intelligence
, 25:787–800.
Torr, P.H.S., 1995.
Motion Segmentation and Outlier Detection
,
University of Oxford, UK.
Vanegas, C.A., D.G. Aliaga, P. Wonka, P. Müller, P. Waddell, and B.
Watson, 2010. Modelling the appearance and behaviour of urban
spaces,
Computer Graphics Forum
, Wiley Online Library, pp.
25–42.
Van Meerbergen, G., M. Vergauwen, M. Pollefeys, and L. Van Gool,
2002. A hierarchical symmetric stereo algorithm using dynamic
programming,
International Journal of Computer Vision
,
47:275–285.
Veksler, O., 2005. Stereo correspondence by dynamic programming
on a tree,
Proceedings of the 2005 IEEE Computer Society
Conference on Computer Vision and Pattern Recognition
(CVPR’05)
, 382:384–390.
Viola, P., and W.M. Wells III, 1997. Alignment by maximization of
mutual information,
International Journal of Computer Vision
,
24:137–154.
Wu, B., Y. Zhang, and Q. Zhu, 2011. A triangulation-based
hierarchical image matching method for wide-baseline images,
Photogrammetric Engineering and Remote Sensing
, 77:695–708.
Wu, B., Y. Zhang, and Q. Zhu, 2012. Integrated point and edge
matching on poor textural images constrained by self-adaptive
triangulations,
ISPRS Journal of Photogrammetry and Remote
Sensing
, 68:40–55.
Xing, J., H. Ai, and S. Lao, 2009. Multi-object tracking through
occlusions by local tracklets filtering and global tracklets
association with detection responses,
Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition, 2009
,
I;1200–1207.
Yang, Q., L. Wang, R. Yang, H. Stewénius, and D. Nistér, 2009. Stereo
matching with color-weighted correlation, hierarchical belief
propagation, and occlusion handling,
IEEE Transactions on
Pattern Analysis and Machine Intelligence
, 31:492–504.
Zhang, L., and A. Gruen, 2006. Multi-image matching for
DSM generation from IKONOS imagery,
ISPRS Journal of
Photogrammetry and Remote Sensing
, 60:195–211.
Zhu, Q., Y. Zhang, B. Wu, and Y. Zhang, 2010. Multiple close range
image matching based on a self-adaptive triangle constraint,
The
Photogrammetric Record
, 25:437–453.
148
March 2018
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
