Photogrammetric Computer Vision and Image Analysis

Terms of Reference

• Algorithms for geometric analysis of image data regardless of scale;
• Geometric analyses of IR, SAR, IFSAR and LIDAR;
• Automated feature and attribute extraction techniques and methodologies from multi-sensor, multi-resolution, multi-spectral, hyperspectral, and multi-temporal imagery;
• Fundamental research into image understanding for object detection, recognition, identification and reconstruction;
• DEM generation and integration of three-dimensional modelling concepts into image analysis processes;
• Integration of spatial information systems and object models for object recognition;
• Sensor pose determination (including auxiliary information);
• Projective and multi-view geometry;
• Image sequence analysis;
• Algorithms for including features in the orientation processes;
• Spatial, spectral and temporal properties of natural and human-formed objects.

WORKING GROUPS of ISPRS COMMISSION III

• WG III/1 - Pose Estimation and Surface Reconstruction from Image and/or Range Data
• WG III/2 - 3D Point Cloud Processing
• WG III/3 - Image Analysis for Indexation and Image Retrieval
• WG III/4 - Complex Scene Analysis and 3D Reconstruction
• WG III/5 - Image Sequence Analysis

INTERCOMMISSION WGs of ISPRS COMMISSION III

• ICWG III/VII - Pattern Recognition in Remote Sensing

WG III/1 - Pose Estimation and Surface Reconstruction from Image and/or Range Data

WG III/1  Terms of Reference

• Investigating different camera models (perspective, projective, generic, non-linear distortions, frame and line sensors)
• Developing robust self-calibration methods (without markers)
• Developing robust orientation methods without markers
• Using different features: points, lines, conics, silhouettes, etc for image calibration/orientation
• Bundle-block adjustment
• Studying multi-view image matching and surface reconstruction techniques
• Studying optimization-based image matching and surface reconstruction techniques
• Studying the combination of images and other sensors (GPS/INS, terrestrial/aerial laser-scanners) for calibration, orientation and surface reconstruction
• Real-time calibration, orientation and surface reconstruction
• Management of huge image blocks
• Comparison and benchmarking of calibration, orientation, and surface reconstruction techniques

WG III/2 - 3D Point Cloud Processing

WG III/2  Terms of Reference

• Information extraction from point clouds and surface models
• Registration of point clouds and surface models
• Classification/segmentation of natural and urban areas from point clouds
• Analysis of full-waveform lidar data
• Data management systems
• Feature extraction and 3D modelling
• Quality analysis of the data

WG III/3 - Image Analysis for Indexation and Image Retrieval

WG III/3  Terms of Reference

• Information mining in large satellite, aerial and street view image archives
• Satellite, aerial and street-view image indexing and retrieval
• Machine learning and context aware image understanding
• Image semantics and knowledge representation
• Integration of heterogeneous features: textural, spectral and geometrical attributes
• Integration of low and high level features (points, segments, regions, graphs, etc) in the indexation and retrieval processes
• Integration of 3D information and spatial relations between the features
• Multi-resolution image indexing
• Image retrieval for georeferencing and pose estimation
• Management of huge heterogeneous data sets

WG III/4 - Complex Scene Analysis and 3D Reconstruction

WG III/4  Terms of Reference

• Extraction of buildings, roads, vehicles, vegetation, and other objects for the generation and update of high-resolution 3D city models and road databases from aerial, spaceborne and terrestrial data
• Automatic and semi-automatic urban models with various levels of detail
• Interpreting the image data, by itself and together with information from urban GIS data, CAD models, etc.
• Developing analysis tools and models required to integrate information about multiple object classes and their interconnections within complex scenes
• Study of trade-off between geometry and radiometry/texture for visualization
• Efficiency and quality assessment and dependency on the quality of the input data

WG III/5 - Image Sequence Analysis

WG III/5  Terms of Reference

• Studying camera and camera network calibration from image sequences including cameras with non-standard geometry and variable frame rates
• Studying ego-motion determination for navigation, georeferencing and object reconstruction
• Studying detection, reconstruction, classification and tracking of single and multiple objects in image sequences
• Studying event reconstruction from image sequences as well as single and multiple video streams
• Investigating the quality assessment of calibration, orientation and object detection using image sequences
• Benchmarking of calibration, orientation and object detection techniques using image sequences

ICWG III/VII - Pattern Recognition in Remote Sensing

ICWG III/VII  Terms of Reference

• Statistical and non-statistical methods for pattern recognition
• Pixel-based and object-based methods
• Graphical models (random fields, Bayesian nets) and stochastic grammars
• Scale space methods
• Data fusion
• Quality and uncertainty in pattern recognition
• Benchmarking