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Extending 6D Object Pose Estimators for Stereo Vision

By Thomas Pöllabauer and others
Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task. However, recent methods for directly regressing poses from RGB images using dense features have achieved state-of-the-art results. Stereo vision, which provides an additional perspective on the object, can help reduce pose ambiguity and occlusion. Moreover, stereo... Show more
September 10, 2024
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Extending 6D Object Pose Estimators for Stereo Vision
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