A realtime mixed reality system for seamless interaction between real and virtual objects

Anagnostopoulos, Achilleas; Pnevmatikakis, Aristodemos

doi:10.1145/1413634.1413673

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…The hand contour features can also be used to distuiguish hands from other objects. Anagnostopoulos et al [21] find all objects contours in the image captured by a webcam, and use hand features like dimensions of the object area and its shape to wipe out non-hand objects. Then they trace the hands contour curve, identify a set of dominant curve points and use k-curvature, which is mainly used to detect the dominant points on curves, to decide which points are finger tips.…”

Section: Contour and Color Based Approachesmentioning

confidence: 99%

Development of a haptic video chat system

Zhang

Saboune

Saddik

2014

Multimed Tools Appl

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Since conventional audio-video teleconferencing systems have reached their limits, the needs of integrating new sensations to improve users' telecommunication experience are growing. Haptics, the sense of touch, which includes handshake, comforting hug, encouraging pat, and other physical contacts, is of great importance for interpersonal communication, since it allows people to express and receive intimate affection, intention or emotion efficiently. Motivated by a few haptic telecommunication softwares, this thesis presents an innovative webcam-based touchscreen to replace the haptic device, which is used in HugMe [30] [26][27] system as human hand, to further increase people's degree of immersion with the audio-video-haptic teleconferencing system at a more reasonable price. With our webcam-based touchscreen, the user could directly use his/her bare hand to touch the image of the person who he/she is chatting with, instead of controlling a haptic device as the medium to realize indirect touch. This thesis also gives details of the touchscreen method and our proposed mathematical models for touch position calculation. Experimental results show that our system is accurate and robust, while maintaining high compatibility with conventional audio-video teleconferencing systems for combination. With our haptic jacket, the passive user can feel the touch of the active user at the right position. Also, additional applications with the touchscreen, such as writing and drawing, are developed and tested. Finally, we draw the conclusions and talk about future work.ii

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Section: Contour and Color Based Approachesmentioning

confidence: 99%

Development of a haptic video chat system

Zhang

Saboune

Saddik

2014

Multimed Tools Appl

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“…The hand contour features can also be used to distuiguish hands from other objects. Anagnostopoulos et al [12] find all objects' contours in the image captured by a webcam, and use hand features like dimensions of the object area and its shape to wipe out non-hand objects. Then they trace the hand's contour curve, identify a set of dominant curve points and use k-curvature, which is mainly used to detect the dominant points on curves, to decide which points are finger tips.…”

Section: Related Workmentioning

confidence: 99%

Transforming a Regular Screen Into a Touch Screen Using a Single Webcam

Zhang

Saboune

Saddik

2014

J. Display Technol.

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Nowadays, touch screens are widely used in many commercial devices. In this paper, we present an inexpensive webcam-based touch screen system based on a simple and generic finger detection technique. Only a single webcam and a regular screen are used to achieve this goal. By using the scene geometry and the camera model, we can determine the position of the finger on the screen. The technique we propose is simple and works well under various surrounding environments while the detecting method suits many finger colors and shapes. Our approach can also be used for realtime applications. Experimental results and practical applications are provided to ascertain the proposed method.

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“…The technology quickly found funding and applications in military helicopters to be worn by the pilots. Over the next 20 years or so, many other HMD designs would emerge, each generation [2]improving upon the last.…”

Section: The Sensoramamentioning

confidence: 99%

“…Many other variants of these controllers would emerge over the course of the decade, with the most recent relying on computer vision techniques. Pnevmatikakis and Anagnostopoulos described a fast process by which to track the center of the palm by finding the point with the largest distance to its nearest contour point [2]. Amayeh, Bebis, Erol and Nicolescu proposed a way to segment the hand based on fitting the largest circle to the palm and inferring the position of the fingers from the nonpalm regions [3].…”

Section: Natural Interfacingmentioning

confidence: 99%

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Virtual Reality Engine Development

Varahamurthy¹

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A realtime mixed reality system for seamless interaction between real and virtual objects

Cited by 6 publications

References 5 publications

Development of a haptic video chat system

Development of a haptic video chat system

Transforming a Regular Screen Into a Touch Screen Using a Single Webcam

Virtual Reality Engine Development

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