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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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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/147765.jpg
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https://doi.org/10.1007/978-3-642-40303-33D object recognition; Kinect sensor; gesture recognition; image processing; texture similarity
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978-3-642-40302-6Springer-Verlag Berlin Heidelberg 2013
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Advances in Depth Images Analysis and Applications978-3-642-40303-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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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.
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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.
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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.
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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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