PhotoGA 2017 provides an opportunity and platform for all professionals involved in photogrammetric 3D reconstruction to share research ideas and results, foster and enhance cooperation, draw inspirations and maximize potentials. It addresses experts from photogrammetry, remote sensing, and computer vision from both academia and industry. Contributions are invited from all researchers and practitioners in the fields of image-based 3D reconstruction in the context of geo-applications to cover a variety of topics on aerial and/or space sensor calibration and orientation, multi-source data fusion, 3D data acquisition and surface reconstruction, UAVs for 3D mapping, multi-view geometry and image sequence analysis for platforms ranging from low-cost UAVs to professional airborne and spaceborne sensors.
The PhotoGA17 workshop will have two days of technical programs including a plenary session with keynote talks and invited papers, as well as oral and poster presentations. The workshop is organized by ISPRS WG II/1 and WG II/2 in conjunction with the ISPRS Geospatial Week 2017 and is hosted by the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) at Wuhan University.
Image orientation and photogrammetric 3D reconstruction in the context of geo-applications include the following core topics: mathematical models and methods for automatic calibration, orientation and processing of low altitude, aerial, and space images; surface reconstruction; fusion of multi-source datasets; image sequence analysis with the emphasis on multi-view geometry; and various geo-product applications with focus on photogrammetric aspects, such as global mapping and monitoring and 3D model generation.
Professionals from related disciplines like photogrammetry, remote sensing, computer vision, geo-data processing and applications are welcome to join the PhotoGA17 workshop to pose their research questions and search solutions.
Workshop topics include but are not limited to
Non-conventional image sources, i.e. oblique images
Feature extraction, stereo/multi-view sparse matching, dense image matching
Aerial/Space sensor calibration and orientation
Image alignment and applications
Multi-source data fusion
Multi-view geometry and image sequence analysis
3D Data acquisition and surface reconstruction
Small unmanned aerial systems for 3D mapping
Evaluation of performance, reliability, robustness, and generality of methods
09月21日
2017
09月22日
2017
摘要截稿日期
初稿截稿日期
注册截止日期
留言