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Integrating Close-Range 3D Computer Vision and Synthetic Aperture Radar Satellite Remote Sensing
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TUB Computer Vision & Remote Sensing Research Group
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Medical Image Processing Projects
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3D-Reconstruction Tool Chain
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Discovering How Images Cover Object Graph of image triplets • Descriptor variance similarity to identify loop
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OpenOF • Framework for sparse non-inear least squares optimization on a GPU
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Image Measurements and knowledge: Camera Orientation Relative to Rectangle
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Semantic Analysis • Various disciplines require semantic analysis of point clouds
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Simplification - MDL Implies Trade-Off and fitting the measurements? . MDL principle: Transmitter wants to encode the information
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Point Cloud Data Reduction Using MDL Principle
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Segmentation into Low-Curvature and High-Curvature Segments
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Voronoi-Based Extraction of a Feature Skeleton 11
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Noise Influence on Point Cloud Segmentation
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Performance Comparison of Point Cloud Segmentation Algorithms
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Synthetic Aperture Radar (SAR) Remote Sensing
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SAR Raw Data Processing Matched Filtering
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Processing of SAR Data
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Differential Interferometric SAR Phase Difference = f(Movement)
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Compressive Sampling! Sparse Signal Representation Signal f can be transformed to a domain where it is sparse using an orthonormal basis eg a wavelet transform
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Sparsity: Images in Wavelet Domain
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Compressive Sampling II
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Multibaseline SAR Acquisition
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Proposal for Future Research: Use of Ubiquitous 3D Reconstructions
Description:
Explore a comprehensive guest presentation by Olaf Hellwich on integrating close-range 3D computer vision with synthetic aperture radar satellite remote sensing. Delve into topics such as medical image processing, 3D reconstruction techniques, semantic analysis of point clouds, and SAR data processing. Learn about advanced concepts like compressive sampling, sparse signal representation, and multibaseline SAR acquisition. Gain insights into the TUB Computer Vision & Remote Sensing Research Group's projects and discover potential future research directions in ubiquitous 3D reconstructions.

Integrating Close-Range 3D Computer Vision

University of Central Florida
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#Computer Science #Artificial Intelligence #Computer Vision #Image Processing #Machine Learning #Feature Extraction #Semantic Analysis
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Integrating Close-Range 3D Computer Vision and Synthetic Aperture Radar Satellite Remote Sensing