A comparison of artificial neural network and homotopy continuation in 3D interior building modelling

• Main Authors: Jamali, Ali, Anton, Francois, Abdul Rahman, Alias, Mioc, Darca
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: G70.39-70.6 Remote sensing
• Online Access: http://eprints.utm.my/id/eprint/97309/1/AliJamali2017_AComparisonOfArtificialNeuralNetwork.pdf; http://eprints.utm.my/id/eprint/97309/; http://dx.doi.org/10.5194/isprs-archives-XLII-4-W7-13-2017
• Institution: Universiti Teknologi Malaysia

Indoor surveying is currently based on laser scanning technology, which is time-consuming and costly. A construction model depends on complex calculations which need to manage a large number of measured points. This is suitable for the detailed geometrical models utilized for representation, yet exc...