TY - GEN
T1 - Detection of windows in IR building textures using masked correlation
AU - Iwaszczuk, Dorota
AU - Hoegner, Ludwig
AU - Stilla, Uwe
PY - 2011
Y1 - 2011
N2 - Infrared (IR) images depict thermal radiation of physical objects. Imaging the building hull with an IR camera allows thermal inspections. Mapping these images as textures on 3D building models, 3D geo-referencing of each pixel can be carried out. This is helpful for large area inspections. In IR images glass reflects the surrounding and shows false results for the temperature measurements. Consequently, the windows should be detected in IR images and excluded for the inspection. In this paper, an algorithm for window detection in textures extracted from terrestrial IR images is proposed. First, a local dynamic threshold is used to extract candidates for windows in the textures. Assuming a regular grid of windows masked correlation is used to find the position of windows. Finally, gaps in the window grid are replaced by hypothetical windows. Applying the method for a test dataset, 79% completeness and 80% correctness was achieved.
AB - Infrared (IR) images depict thermal radiation of physical objects. Imaging the building hull with an IR camera allows thermal inspections. Mapping these images as textures on 3D building models, 3D geo-referencing of each pixel can be carried out. This is helpful for large area inspections. In IR images glass reflects the surrounding and shows false results for the temperature measurements. Consequently, the windows should be detected in IR images and excluded for the inspection. In this paper, an algorithm for window detection in textures extracted from terrestrial IR images is proposed. First, a local dynamic threshold is used to extract candidates for windows in the textures. Assuming a regular grid of windows masked correlation is used to find the position of windows. Finally, gaps in the window grid are replaced by hypothetical windows. Applying the method for a test dataset, 79% completeness and 80% correctness was achieved.
KW - Image Sequences
KW - Infrared
KW - Structure Detection
KW - Texture Mapping
UR - http://www.scopus.com/inward/record.url?scp=80054032293&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24393-6_12
DO - 10.1007/978-3-642-24393-6_12
M3 - Conference contribution
AN - SCOPUS:80054032293
SN - 9783642243929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 133
EP - 146
BT - Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings
T2 - ISPRS Conference on Photogrammetric Image Analysis, PIA 2011
Y2 - 5 October 2011 through 7 October 2011
ER -