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UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality Assurance by Confidence Prediction
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, ground resolution and 3D uncertainty.
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision
Learned confidence measures gain increasing importance for outlier removal and quality improvement in stereo vision.
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