有节制 发表于 2025-3-25 05:24:23

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/147765.jpg

mortuary 发表于 2025-3-25 07:34:11

https://doi.org/10.1007/978-3-642-40303-33D object recognition; Kinect sensor; gesture recognition; image processing; texture similarity

MARS 发表于 2025-3-25 11:57:56

978-3-642-40302-6Springer-Verlag Berlin Heidelberg 2013

细查 发表于 2025-3-25 19:01:45

Advances in Depth Images Analysis and Applications978-3-642-40303-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

乞丐 发表于 2025-3-26 00:00:59

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Mortal 发表于 2025-3-26 01:40:22

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装饰 发表于 2025-3-26 07:39:39

https://doi.org/10.1007/978-3-319-26015-0hat the object is moving and should therefore be removed. After the algorithm is run, the two views can be merged using any existing registration algorithm. We present results on scenes collected around a university building.

dominant 发表于 2025-3-26 11:09:04

https://doi.org/10.1007/978-3-642-72575-3robust and invariant Reference Frame RF. This surface patch descriptor is used to find the correspondences between query-model view pairs in effective and robust way. Experimental results on Kinect based datasets are presented to validate the proposed approach in view based 3D object recognition.

FLAX 发表于 2025-3-26 13:50:17

Synthesis of Chitin Microfibrils , been adapted accordingly to the new model. The proposed approach is tested in a challenging scenario, showing better performance of the probability-based DTW in comparison to state-of-the-art approaches for gesture recognition on RGB-D data.

Apraxia 发表于 2025-3-26 18:21:07

Cellulose-Based Superabsorbent Hydrogels or pile driver by fast fitting a circle-like geometric model to the data based on Maximum Likelihood Estimation (MLE) inference. The performance of the algorithm is validated by both synthesized and real data set. The results demonstrate the potentials on feasibility of our method in future construction field.
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查看完整版本: Titlebook: Advances in Depth Images Analysis and Applications; International Worksh Xiaoyi Jiang,Olga Regina Pereira Bellon,Takeshi Oi Conference proc