Learning from synthetic models for roof style classification in point clouds

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn 04-07-November-2014, Issue , 2014, Pages 263-270

  Zhang, Xi ^a   Zang, Andi ^a   Agam, Gady ^a   Chen, Xin ^b  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

^b A Nokia Company   (United States)

Author keywords

Classification; Machine Learning; Point Cloud; Roof Style

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION RETRIEVAL; INFORMATION SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEMANTICS; THREE DIMENSIONAL COMPUTER GRAPHICS; UNSUPERVISED LEARNING;

BAG-OF-WORDS MODELS; CLASSIFICATION APPROACH; CONSISTENT PERFORMANCE; GAUSSIAN MIXTURE MODEL; HEURISTIC RULES; POINT CLOUD; PRIOR KNOWLEDGE; SYNTHETIC MODELS;

ROOFS;

EID: 84961201554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2666310.2666407     Document Type: Conference Paper

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