Towards automatic stereo pair extraction for 3D visualisation of historical aerial photographs

An efficient and almost automatic method for stereo pair extraction of aerial photos is proposed. There are several challenging problems that needs to be taken into consideration when creating stereo pairs from historical aerial photos. These problems are discussed and solutions are proposed in order to obtain an almost automatic procedure with as little input as possible needed from the user. The result is a rectified and illumination corrected stereo pair. It will be discussed why viewing aerial photos in stereo is important since the depth cue gives more information than single photos do.

[1]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[2]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[3]  Andrea Marchetti,et al.  Rotation invariant feature matching-based on Gaussian filtered log polar transform and phase correlation , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

[4]  Uwe Stilla,et al.  ESTIMATING THE ESSENTIAL MATRIX: GOODSAC VERSUS RANSAC , 2006 .

[5]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[6]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[7]  Emanuele Trucco,et al.  A compact algorithm for rectification of stereo pairs , 2000, Machine Vision and Applications.

[8]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[9]  Andrea Marchetti,et al.  Putative Match Analysis - A Repeatable Alternative to RANSAC for Matching of Aerial Images , 2012, VISAPP.

[10]  G. Buckland,et al.  Fox Talbot and the invention of photography , 1980 .

[11]  Matthew A. Brown,et al.  Automatic Panoramic Image Stitching using Invariant Features , 2007, International Journal of Computer Vision.

[12]  A. Stephenson,et al.  Air Photo Interpretation for Archaeologists , 1984 .

[13]  Andrew Zisserman,et al.  Multiple View Geometry , 1999 .

[14]  D. N. Riley.  Air photography and archaeology , 1987 .

[15]  Manuel A. Aguilar,et al.  Geometric accuracy assessment of the orthorectification process from very high resolution satellite imagery for Common Agricultural Policy purposes , 2008 .

[16]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .

[17]  Jan-Michael Frahm,et al.  A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus , 2008, ECCV.

[18]  Amir Averbuch,et al.  A projection-based extension to phase correlation image alignment , 2007, Signal Process..

[19]  Andrea Marchetti,et al.  Optimal RANSAC-Towards a Repeatable Algorithm for Finding the Optimal Set , 2013, J. WSCG.

[20]  Andrea Marchetti,et al.  An Efficient Preconditioner and a Modified RANSAC for Fast and Robust Feature Matching. , 2012 .

[21]  D. Cowley,et al.  From the Air: Understanding Aerial Archaeology , 2005 .

[22]  J. Dunnage.  Twentieth Century Italy: A Social History , 2002 .

[23]  Walter Lippmann,et al.  The world outside and the pictures in our heads. , 1957 .

[24]  Andrea Marchetti,et al.  Retrospective Illumination Correction of Greyscale Historical Aerial Photos , 2011, ICIAP.

[25]  Anders Hast.  3D Stereoscopic Rendering : An Overview of Implementation Issues , 2010 .