25th SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2017
15-18 MAY 2017
MARITIM PINE BEACH RESORT BELEK • ANTALYA / TURKEY

İTÜ

2- Computer Vision and Graphics Applications in Architecture and Urban Studies

Computer Vision and Graphics Applications in Architecture and Urban Studies
Computer Vision is a technological field aiming to let artificial systems understand the content of a visual scene using computer programs. While Computer Vision techniques became more and more able and prolific in a diverse range of application domains since the conceptual debut of the field in the 1960s, the reflection of this broad applicability remained limited in architecture and urban studies. In principle, as compared to traditional pen-and-paper based methods, computer vision techniques enable more accurate and faster computation of the sheer amount of structural, geometrical, and semantic properties of an architectural scene and of the components of that scene at desired scales. On one hand, processing of representations such as digital pictures, video, drawings, or models via Computer Vision bears the potential of producing further knowledge on the built environment; on the other, the joint use of computer vision and artificial design intelligence provides the practitioner with decision-support tools and interfaces enabling multidimensional representation, interpretation and evaluation of design problems. With the goal of boosting/building effective cross-domain collaborations across these fields advancing on their own paths, we organize a special session on Computer Vision and Graphics Applications in Architecture and Urban Studies in Signal Processing Applications 2017. We invite researchers in these fields to submit their research work to our special session. Relevant topics include but are not limited to:

  • Automated surveying,
  • Computer vision in built environment,
  • Semantic modeling,
  • Computer vision and graphics in computational design,
  • Example-based modeling,
  • Spatial perception,
  • Automated understanding and interpretation of architectural representations,
  • Retrieval of built elements/buildings
  • Recognition of spatial architectural qualities

Organizers
Dr. Ceyhun Burak Akgül 
Bogazici University Electrical and Electronics Eng. Dept.
ceyhun.akgul{a*}boun.edu.tr
http://cba-research.com/

Dr. Nizam Onur Sönmez
İTÜ Faculty of Architecture, Architecture Dept.
onursonmezn{a*}yahoo.com 
http://akademi.itu.edu.tr/sonmezon/

Asst. Prof. Sema Alaçam
İTÜ Faculty of Architecture, Architecture Dept.
alacams{a*}itu.edu.tr 
http://akademi.itu.edu.tr/alacams/