Publikation: A Model-Based Pose Estimation Framework : From Single Insects to Multiple Hands
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2019
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Robust pose estimation for objects such as human hands and insects plays a central role in human-computer interaction, virtual reality, augmented reality and behavioral studies of animals such as bees. Estimating poses of insects and hands are challenging because they suffer from (self-)similarities, (self-)occlusions, a varying number of targets, etc. Moreover, multi-instance pose estimation is more difficult because it requires the correct detection of all instances while also precisely localizing the corresponding target landmarks.
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DUAN, Le, 2019. A Model-Based Pose Estimation Framework : From Single Insects to Multiple Hands [Dissertation]. Konstanz: University of KonstanzBibTex
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Prüfungsdatum der Dissertation
May 20, 2019
Hochschulschriftenvermerk
Konstanz, Univ., Diss., 2019
