The objective of this paper is to develop a powered wheelchair controller based on EMG for users with high-level spinal cord injury. EMG is very naturally measured when the user indicating a certain direction and the ...
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The objective of this paper is to develop a powered wheelchair controller based on EMG for users with high-level spinal cord injury. EMG is very naturally measured when the user indicating a certain direction and the force information which will be used for the speed of wheelchair is easily extracted from EMG. Furthermore, the emergency situation based on EMG will be checked relatively ease. We classified the pre-defined motions such as rest case, forward movement, left movement, and right movement by fuzzy min-max neural networks (FMMNN). This classification results and evaluation results with real users shows the feasibility of EMG as an input interface for powered wheelchair.
In this paper we report on a new system to enhance a 3D block model of a real city with terrestrial measured data of the facades. The terrestrial data consists of photographs taken by a hand-held digital consumer came...
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In this paper we report on a system to extract 3D information from oriented digital facade images using various feature extraction/matching methods. We emphasize on 2D feature extraction from digital images including ...
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Looking human through a camera” is a potentially powerful technique to facilitate human-computer interaction. Many 2D/3D visual human tracking techniques have been introduced in area of co
Looking human through a camera” is a potentially powerful technique to facilitate human-computer interaction. Many 2D/3D visual human tracking techniques have been introduced in area of co
"Looking human through a camera" is a potentially powerful technique to facilitate human-computer interaction. Many 2D/3D visual human tracking techniques have been introduced in area of computer vision, and...
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ISBN:
(纸本)7506255715
"Looking human through a camera" is a potentially powerful technique to facilitate human-computer interaction. Many 2D/3D visual human tracking techniques have been introduced in area of computer vision, and applied to smart surveillance, motion analysis, interactive computer graphics and virtualreality applications. For applications emphasizing real time interactivity, the visual tracking techniques need to be fast, robust, and preferably run on an inexpensive hardware system. In this paper, we present a relatively inexpensive (e.g. run on a high-end PC) but reasonably robust real time motion-tracking system based on a simple 2D color object segmentation and recognition algorithm. Users grasp color objects for achieving more exact tracking performance on their hands and make predefined motion gestures continuously. Through object segmentation processing based on color information, 2D positions of the objects are computed. And then, a motion gesture corresponding on these 2D position trajectories is found by a simple correlation-based matching algorithm. Also, we demonstrate this system by applying it to a popular interactive entertainment (e.g. TETRIS).
This paper presents a method to automatically calculate texture maps for a given 3D object from a sequence of images. It is used in our image-based modeling approach after the registration of the images and the geomet...
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This paper presents a method to automatically calculate texture maps for a given 3D object from a sequence of images. It is used in our image-based modeling approach after the registration of the images and the geometric modeling has been done. We show that the presented method uses the information from all images by implicitly applying a weighting function. Using this approach, the consideration of modeled occlusions as well as the detection and removal of non-modeled occlusions is accomplished. The final resolution of the texture maps can be adjusted on a pixel/cm basis.
Studierstube is an experimental user interface system which uses collaborative augmented reality to incorporate true 3D interaction into a productivity environment. This concept is extended to bridge multiple user int...
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Studierstube is an experimental user interface system which uses collaborative augmented reality to incorporate true 3D interaction into a productivity environment. This concept is extended to bridge multiple user interface dimensions by including multiple users, multiple host platforms, multiple display types, multiple concurrent applications and a multi-context (i.e. 3D document) interface into a heterogeneous distributed environment. With this architecture, we can explore the user interface design space between pure augmented reality and the popular ubiquitous computing paradigm. We report on our design philosophy, which is centered around the notion of contexts and locales, as well as the underlying software and hardware architecture. Contexts encapsulate a live application together with 3D (visual) and other data, while locales are used to organize geometric reference systems. By separating geometric relationships (locales) from semantic relationships (contexts), we achieve a great amount of flexibility in the configuration of displays. To illustrate our claims, we present several applications, including a cinematographic design tool which showcases many features of our system.
This case study describes a technique for the three-dimensional analysis of the internal microscopic structure (microstructure) of materials. This technique consists of incrementally polishing through a thin layer (ap...
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This case study describes a technique for the three-dimensional analysis of the internal microscopic structure (microstructure) of materials. This technique consists of incrementally polishing through a thin layer (approximately 0.2 /spl mu/m) of material, chemically etching the polished surface, applying reference marks, and performing optical or scanning electron microscopy on selected areas. The series of images are then processed employing AVS and other visualization software to obtain a 3D reconstruction of the material. We describe how we applied this technique to an alloy steel to study the morphology, connectivity, and distribution of cementite precipitates formed during thermal processing. The results showed microstructural features not previously identified with traditional 2D techniques.
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers ...
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ISBN:
(数字)9783642331794
ISBN:
(纸本)9783642331787
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers and 35 poster papers presented together with 45 special track papers were carefully reviewed and selected from more than 200 submissions. The papers are organized in topical sections: Part I (LNCS 7431) comprises computational bioimaging; computer graphics; calibration and 3D vision; object recognition; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and surface reconstruction; motion and tracking; optimization for vision, graphics, and medical imaging, HCI and recognition. Part II (LNCS 7432) comprises topics such as unconstrained biometrics: advances and trends; intelligent environments: algorithms and applications; applications; virtualreality; face processing and recognition.
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers ...
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ISBN:
(数字)9783642331916
ISBN:
(纸本)9783642331909
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers and 35 poster papers presented together with 45 special track papers were carefully reviewed and selected from more than 200 submissions. The papers are organized in topical sections: Part I (LNCS 7431) comprises computational bioimaging; computer graphics; calibration and 3D vision; object recognition; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and surface reconstruction; motion and tracking; optimization for vision, graphics, and medical imaging, HCI and recognition. Part II (LNCS 7432) comprises topics such as unconstrained biometrics: advances and trends; intelligent environments: algorithms and applications; applications; virtualreality; face processing and recognition.
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