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A face-house paradigm for architectural scene analysis
2008
Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology - CSTST '08
This interdisciplinary study proposes a method for architectural design analysis of house façades which is based on face detection and facial expression classification. The hypothesis is that abstract face expression features can occur in the architectural design of house façades and will potentially trigger emotional responses of observers. The approach used statistical learning with support vector machines for classification. In the computer experiments the system was trained using a
doi:10.1145/1456223.1456304
dblp:conf/wstst/ChalupHO08
fatcat:mz363rsoyzau3psokxs5vbf7vm