FreeScup: A Novel Platform for Assisting Sculpture Pose Design

Wu, Yirui; Lü, Tong; Yuan, Zehuan; Wang, Hao

doi:10.1109/tmm.2016.2609407

Cited by 7 publications

(3 citation statements)

References 41 publications

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“…Since the following equation is obtained: (10) In this way, the optimal formulation of the perceptron network learning problem is as follows: finding the optimal values and of the weight vector and minimizing the cost function equation [21][22]. Namely: (11) Find the optimal weight vector that minimizes the cost function: (12) The perceptron training algorithm thus transforms the problem of learning and training a sample set into an unconstrained optimization problem with a cost function.…”

Section: Perceptron Training Algorithmmentioning

confidence: 99%

“…Interaction experience refers to the purely subjective emotional feelings established psychologically by a group of users in using the same product to enhance and expand how people work, communicate and interact [5][6][7]. The application and aesthetic value of the sculpture product design interaction experience sculpture products, as well as various factors such as product impression, function and content, together, constitute the organic whole of the user interaction experience [8][9][10]. People emphasize the material experience while paying more attention to the spiritual experience.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of interaction experience of sculpture product design based on perceptual machine model

Li,

Xie

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the perceptual machine model is applied to analyze the interaction experience of sculpture product design to promote the innovative development of the cultural product design industry. In the design process, product information is passed layer by layer through a multilayer perceptual machine to adjust the magnitude of the weight vector values and obtain the optimal weight vector for sculpture product design. Using the perceptual machine training algorithm, the adjusted weights of the output layer network are calculated to clarify the value and status of perceptual factors in product design, thus proposing an interactive integration route for sculpture product design. A sculpture design product is used as an example to show the effect of the perceptual machine model on enhancing the interaction experience of the sculpture product design. The results show that the sculpture product is at level VI, the average weight of its frontal profile is e=0.46494, and the absolute value of the error between the modeling imagery result and the expected result is less than 0.1, which is within a reasonable error range. It can be seen that the perceptual machine model can transform the sculpture product design principles into user experience elements, which is conducive to the experiential development of sculpture product interaction design.

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Section: Perceptron Training Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of interaction experience of sculpture product design based on perceptual machine model

Li,

Xie

2023

Applied Mathematics and Nonlinear Sciences

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“…The virtual shapes are first overlaid on the physical sculptures but next they can evolve in an interactive sculpting session. A Kinect sensor can also be used as an aid for real-time pose editing different kinds of articulated sculpture artworks (Wu et al 2016). In a digital heritage scenario, skeletons of statues or of human bodies which are captured by depth sensors for mobile devices can be used to query datasets of 3-D models of Graeco-Roman statues (Barmpoutis, Eleni, and Daniele 2015).…”

Section: Related Workmentioning

confidence: 99%

Light fountain – a virtually enhanced stone sculpture

Solina

Meden

2016

Digital Creativity

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The article describes the making of an art piece combining stone sculpture and virtual water. The motivation for this art piece was to enrich the usual static format of a stone sculpture with a dynamic dimension. The dynamic dimension is attained with virtual water droplets running over the stone surface which behave as real water droplets. The 3-D surface of a specially carved stone sculpture is during an exhibition continuously captured by the Kinect sensor. Each water drop out of many thousands, which are introduced into the installation as evenly distributed rain drops, falling over the sculpture, are simulated individually to run over the stone surface following the largest slope. These simulated water drops are projected with a video projector as light points on the surface of the sculpture. An observer can enjoy simultaneously the haptic experience of touching the stone and observing a digitally generated but physically grounded animation. ARTICLE HISTORY

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Context and Temporal Aware Attention Model for Flood Prediction

Ding

Feng

et al. 2018

Advances in Multimedia Information Processing – PCM 2018

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FreeScup: A Novel Platform for Assisting Sculpture Pose Design

Cited by 7 publications

References 41 publications

Analysis of interaction experience of sculpture product design based on perceptual machine model

Analysis of interaction experience of sculpture product design based on perceptual machine model

Light fountain – a virtually enhanced stone sculpture

Context and Temporal Aware Attention Model for Flood Prediction

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