Recognition and Grasping of Objects by Active Vision using Indoor Autonomous Mobile Robot

Author:

Aoyagi Seiji1,Ushiro Shota2,Fukuda Masahito1,Takahashi Tomokazu1,Suzuki Masato1

Affiliation:

1. Faculty of Engineering, Kansai University

2. Sumitomo Electric Industries, Ltd.

Publisher

The Institute of Systems, Control and Information Engineers

Reference12 articles.

1. [1] 佐川, 高橋, 鈴木, 青柳: 人間が日常生活で扱う物体の数および把持方法の調査; 第18回画像の認識・理解シンポジウム, SS4-6, pp. 1–2 (2015)

2. [2] G. Csurka, C. Dance and L. Fan: Visual categorization with bags of keypoints; Workshop on statistical learning in computer vision; ECCV, Vol. 1, No. 1, pp. 1–2 (2004)

3. [3] F. Tombari, S. Saltiand L. D. Stefano: Unique signatures of histograms for local surface description; ECCV, Vol. 6313, No. 2, pp. 356–369 (2010)

4. [4] R. B. Rusu, N. Blodow, Z. C. Marton and M. Beetz: Aligning point cloud views using persistent feature histograms; IEEE Proc. IROS, pp. 3384–3391 (2008)

5. [5] A. Krizhevsky, I. Sutskever and G. E. Hinton: Imagenet classification with deep convolutional neural networks; Advances in Neural Information Processing Systems, pp. 1097–1105 (2012)

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