2011 IEEE International Conference on Multimedia and Expo 2011
DOI: 10.1109/icme.2011.6012155
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Real 3D interaction behind mobile phones for augmented environments

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Cited by 4 publications
(10 citation statements)
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“…However, the main idea is to use physical space for 3D manipulation on 2D devices. By using the six degrees of freedom motion analysis, problems of 2D interaction will be handled in most cases [3,4,7,9]. The important feature of the proposed system is bare-hand, marker-less gesture detection and tracking from 2D video input.…”
Section: Vision-based Motion Tracking In 3d Spacementioning
confidence: 99%
See 2 more Smart Citations
“…However, the main idea is to use physical space for 3D manipulation on 2D devices. By using the six degrees of freedom motion analysis, problems of 2D interaction will be handled in most cases [3,4,7,9]. The important feature of the proposed system is bare-hand, marker-less gesture detection and tracking from 2D video input.…”
Section: Vision-based Motion Tracking In 3d Spacementioning
confidence: 99%
“…In order to support the main concept of this work, we have focused on two major problems: first, interaction with mobile devices based on motion analysis in 3D space [3,4,7,9], and second, 3D visualization on ordinary 2D displays [8,10,11]. Our interactive systems are based on detection, tracking, and analysis of the human's 3D motion from the visual input.…”
Section: Enabling Media Technologiesmentioning
confidence: 99%
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“…In this experiment, grab gesture is used for object manipulation. The grab gesture is one of the most natural and frequently used gestures to manipulate objects in 3D space, and has been used to perform gesture-based interaction for mobile applications (Kondori et al, 2011a) (Yousefi et al, 2013). As shown in Fig.…”
Section: Gestural Interaction For Mobile Applicationsmentioning
confidence: 99%
“…Kondori proposed an idea similar to ours in the sense that the system allows the user to manipulate his/her hand behind the mobile phone for character pose authoring in AR environments [9]. While the pose estimation method based on rotational symmetries enables the accurate extraction of relative rotation and translation of the hand, motion in the depth direction was not considered.…”
Section: Introductionmentioning
confidence: 99%