Geometry-assisted image-based rendering for facial analysis and synthesis

Eisert, Peter; Rurainsky, Jürgen

doi:10.1016/j.image.2006.03.003

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…Meanwhile, due to the complex and ambiguous distribution, it is difficult to pick up the element from the topology configuration. Thus, the image-based design method [ 22 ] is employed to draw the topology structure. At first, the characteristic function, i.e., pixels, is defined instead of the element density.…”

Section: Nano-positioning Stagementioning

confidence: 99%

Topologically Optimized Nano-Positioning Stage Integrating with a Capacitive Comb Sensor

Chen

Wang

Liu

et al. 2017

Sensors

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Nano-positioning technology has been widely used in many fields, such as microelectronics, optical engineering, and micro manufacturing. This paper presents a one-dimensional (1D) nano-positioning system, adopting a piezoelectric ceramic (PZT) actuator and a multi-objective topological optimal structure. The combination of a nano-positioning stage and a feedback capacitive comb sensor has been achieved. In order to obtain better performance, a wedge-shaped structure is used to apply the precise pre-tension for the piezoelectric ceramics. Through finite element analysis and experimental verification, better static performance and smaller kinetic coupling are achieved. The output displacement of the system achieves a long-stroke of up to 14.7 µm and high-resolution of less than 3 nm. It provides a flexible and efficient way in the design and optimization of the nano-positioning system.

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Section: Nano-positioning Stagementioning

confidence: 99%

Topologically Optimized Nano-Positioning Stage Integrating with a Capacitive Comb Sensor

Chen

Wang

Liu

et al. 2017

Sensors

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“…by the Digital Emily Project [8] but requires highly sophisticated capturing of an animatable model, both technically and in terms of human labour. In contrast, the approach presented in this paper achieves realism by using approximated geometry to re-render textures that convey the needed expressivity and detail, as for example in [9]. Similar strategies are used in free-viewpoint video techniques [10,11,12] where the images captured in a multi-view video camera setup are combined to create realistic renderings of novel viewpoints.…”

Section: Related Workmentioning

confidence: 99%

Realistic retargeting of facial video

Paier

Kettern

Eisert

2014

Proceedings of the 11th European Conference on Visual Media Production

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We propose a simple method for realistic retargeting of facial performance from one shot to another. Editors can combine different takes of a shot into one single, optimal take with minimal manual labour and highly realistic results. Using a static proxy mesh of the actor's head, we obtain approximate 3D information of recorded monocular facial video. This 3D information is used to create pose-invariant textures from recorded facial action and to re-render it into a target shot. This can be done for the full face or parts of it, allowing for flexible editing.

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“…In order to animate a synthetic character, the static shape must be defined as well as the dynamic motion. The appearance of an avatar can be modeled by image-based rendering techniques [2], but here a polygonal surface mesh is used which is colored by mapping texture maps onto the surface. Fig.…”

Section: B Avatar Animationmentioning

confidence: 99%

“…The median value of horizontal and vertical coordinates of facial feature points is assigned to , whereas the mean of all face pixel positions is denoted by . The relative change of facial feature points (horizontal/vertical) is then calculated by (1) and the change of horizontal and vertical rotations is approximated by (2). A scale factor is introduced to adopt the pixel unit to angles (1)…”

Section: Facial Feature Tracking For Head Rotationmentioning

confidence: 99%

Real-Time Vision and Speech Driven Avatars for Multimedia Applications

Schreer

Englert

Eisert

et al. 2008

IEEE Trans. Multimedia

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Recent progress in advanced video communication services and multimedia applications is grounded on novel human machine interfaces, improved usability, and user friendliness driven by user centric research and development. In this paper, we describe a complete system concept and algorithmic details of an example application within this area. The key features of the system are vision and speech based interfaces, which are used to animate an avatar for an audio-visual representation of a communication partner. The system is applied in two application scenarios, namely video chat and customer care services. Both applications are mass-market oriented and therefore careful design and development of robust and supporting user interfaces are required. The presented approach is integrated into a complete real-time prototype system, which is permanently demonstrated in the showcase at the head quarter

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Geometry-assisted image-based rendering for facial analysis and synthesis

Cited by 7 publications

References 29 publications

Topologically Optimized Nano-Positioning Stage Integrating with a Capacitive Comb Sensor

Topologically Optimized Nano-Positioning Stage Integrating with a Capacitive Comb Sensor

Realistic retargeting of facial video

Real-Time Vision and Speech Driven Avatars for Multimedia Applications

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