This paper presents a new approach for gesture classification using x- and y- projections of the image and optional depth features. The system uses a 3D Time-Of-Flight (TOF) sensor which has the big advantage of simplifying hand segmentation. For the presented system, a Photonic-Mixer-Device (PMD) camera with a resolution of 160 × 120 pixels and…
International Journal of Intelligent Systems Technologies and Applications Template
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About the International Journal of Intelligent Systems Technologies and Applications format
International Journal of Intelligent Systems Technologies and Applications is a peer-reviewed journal published by Inderscience, covering Neural Networks and Applications, Advanced Vision and Imaging, Face and Expression Recognition.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Intelligent Systems Technologies and Applications, 12(3), pp. 45–58.
Formats any DOI in International Journal of Intelligent Systems Technologies and Applications style. No sign-up. |
| Publishes research in | Neural Networks and Applications Advanced Vision and Imaging Face and Expression Recognition Robotic Path Planning Algorithms Image Retrieval and Classification Techniques |
| ISSN | 1740-8865 |
| Citation impact (2-yr) | 0.36 |
| h-index | 23 |
| i10-index | 88 |
| Total citations | 3,209 |
| Top institutions publishing here | Massey University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Intelligent Systems Technologies and Applications per year
Citation impact of International Journal of Intelligent Systems Technologies and Applications by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in International Journal of Intelligent Systems Technologies and Applications
This paper suggests an approach in fusing two 3D estimation techniques: stereo vision and Time-Of-Flight (TOF) imaging.By mapping the TOF-depth measurements to stereo disparities, the correspondence between the images from a fast TOF-camera and standard high resolution camera pair are found, so the TOF depth measurements can be linked to the image pairs.In the same…
In this paper, we describe a joint approach for robot navigation with collision avoidance, pose estimation and map building with a 2.5D Photonic Mixer Device (PMD)-camera combined with a high-resolution spherical camera. The cameras are mounted at the front of the robot with a certain inclination angle. The navigation and map building consists of two…
We present a scene acquisition system which allows for fast and simple acquisition of arbitrarily large 3D environments. We propose a small device which acquires and processes frames consisting of depth and colour information at interactive rates. This allows the operator to control the acquisition process on the fly. However, no user input or prior…
This paper presents a method for precise surface reconstruction with Time-Of-Flight (TOF) cameras. A novel calibration approach, which simplifies the calibration task and doubles the camera's precision is developed and compared to current calibration methods. Remaining errors are tackled by applying filter and error distributing methods. Thus, a reference object is circumferentially reconstructed with an…