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Titlebook: Advances in Depth Images Analysis and Applications; International Worksh Xiaoyi Jiang,Olga Regina Pereira Bellon,Takeshi Oi Conference proc

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21#
發(fā)表于 2025-3-25 05:24:23 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/147765.jpg
22#
發(fā)表于 2025-3-25 07:34:11 | 只看該作者
https://doi.org/10.1007/978-3-642-40303-33D object recognition; Kinect sensor; gesture recognition; image processing; texture similarity
23#
發(fā)表于 2025-3-25 11:57:56 | 只看該作者
978-3-642-40302-6Springer-Verlag Berlin Heidelberg 2013
24#
發(fā)表于 2025-3-25 19:01:45 | 只看該作者
Advances in Depth Images Analysis and Applications978-3-642-40303-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
25#
發(fā)表于 2025-3-26 00:00:59 | 只看該作者
26#
發(fā)表于 2025-3-26 01:40:22 | 只看該作者
27#
發(fā)表于 2025-3-26 07:39:39 | 只看該作者
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.
28#
發(fā)表于 2025-3-26 11:09:04 | 只看該作者
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.
29#
發(fā)表于 2025-3-26 13:50:17 | 只看該作者
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.
30#
發(fā)表于 2025-3-26 18:21:07 | 只看該作者
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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