Technical topics of interest include (but are not limited to): Prior knowledge: - Semantic or structural prior knowledge for 3D reconstruction - Usage of object knowledge to reconstruct surfaces with non-Lambertian reflectance - Detection of geometric primitives in point clouds - Local shape priors Object Detection: - Semantic 3D reconstruction - Semantic SLAM - Object Detection in 3D or RGB-D data - Person detection, tracking, and behavioral understanding - Detection, classification, and segmentation of dynamic or static obstacles Representation: - Data structures and mathematical models to represent, access, manipulate, or visualize structural information, i.e. prior object knowledge, point clouds, surfaces, environment maps - Semantic segmentation of point clouds - Visualization of semantic information in point clouds - CAD models Special Processing: - Real time 3D modeling - Sparsity inducing optimization for 3D reconstruction - High accuracy 3D reconstruction - Large-scale analytics Sensor analytics: - Single image reconstruction / Depth constraints in single images - Stereo camera systems - Time of flight (ToF) sensors - Laser scanning - Sensor fusion (e.g. camera images and laser scanner data) Biology inspired: - Human perception of shape and its potential implications to 3D reconstructions Applications: - Industrial applications including service & maintenance, driver assistance, video surveillance & monitoring, inspection - Datasets - Robot control based on real time 3D perception - 3D reconstruction from UAVs - Visual odomet。