5 papers
Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction
Christian Mostegel, Friedrich Fraundorfer, Horst Bischof
In this work, we propose a novel approach to prioritize the depth map computation of multi-view stereo (MVS) to obtain compact 3D point clouds of high quality and completeness at l…
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer +1
In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density…
UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality Assurance by Confidence Prediction
Christian Mostegel, Markus Rumpler, Friedrich Fraundorfer +1
In this paper we present an autonomous system for acquiring close-range high-resolution images that maximize the quality of a later-on 3D reconstruction with respect to coverage, g…
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision
Christian Mostegel, Markus Rumpler, Friedrich Fraundorfer +1
Learned confidence measures gain increasing importance for outlier removal and quality improvement in stereo vision. However, acquiring the necessary training data is typically a t…
Performance Evaluation of Vision-Based Algorithms for MAVs
T. Holzmann, R. Prettenthaler, J. Pestana +5
An important focus of current research in the field of Micro Aerial Vehicles (MAVs) is to increase the safety of their operation in general unstructured environments. Especially in…