Dear Colleagues,

In a general sense, 3D computer vision addresses the classic problems of computer vision (segmentation, classification, interpretation, etc.) to the reconstruction of three-dimensional scenes from data coming from cameras or 3D sensors. The era of the automatic creation of 3D models has brought about new systems, procedures, and algorithms that are able to collect and process a huge amount of data efficiently without the help of humans.

On the other hand, 3D digital models of cultural heritage are known as “3D heritage”. These 3D models are used in innumerable applications: generation of replicas, analysis, support for research in Archaeology and History, and, when they are models of buildings, they can be used by professionals from the architecture/engineering/construction (AEC) fields to extract as-is 3D building models, store realistic replicas, correct construction failures or analyze the thermal behavior of buildings.

For many of these tasks, 3D computer vision techniques are needed. However, the earlier methods are not usually efficient for ancient and urban heritage buildings, in which irregular primitives and nonprismatic architectural components arise, or for other urban heritage elements with intricate structures. Therefore, new 3D computer vision solutions are required.

This Special Issue focuses on new 3D computer vision techniques and applications in urban heritage. Works related to 3D data acquisition, preprocessing, segmentation, recognition, and modeling in the urban heritage context are required. More specifically, some topics related to this Special Issue are:

• New 3D data acquisition techniques and strategies for urban heritage (photogrammetry, shape from motion, terrestrial and aerial laser scanners, etc.);
• 3D data registration and data integration from multisensory platforms;
• Semantically-rich 3D models of heritage buildings;
• 3D thermal models of heritage buildings;
• 3D heritage building modeling;
• Preprocessing stages for urban heritage data;
• Classification, recognition, and interpretation of 3D data in the urban heritage context;
• Parallel processing algorithms applied to urban heritage;
• Applications of 3D computer vision techniques to solve problems related to cultural heritage.

Finally, review articles that summarize the current state-of-the-art and discuss the gaps in the research regarding urban heritage are also welcome.

Prof. Dr. Antonio Adán
Dr. Pilar Merchán
Dr. Emiliano Pérez
Dr. Santiago Salamanca Miño
Guest Editors

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• 3D computer vision
• Cultural heritage
• 3D heritage
• 3D acquisition
• 3D data registration
• 3D data integration
• Sensor fusion
• 3D segmentation
• Data processing
• Parallel processing
• Pattern recognition
• 3D data analysis
• HBIM (heritage building information modeling)