Accelerating learned descriptor generation for visual localization
Visual SLAM systems use traditional feature extractor to retrieve features, a pair consisting of a keypoint and descriptor, from images. These features can then be matched to estimate the camera pose. However, these traditional feature extractors are surpassed by newer deep learning-based feature ex...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175279 |