3D computational modeling and perceptual analysis of kinetic depth effects
| Autor: | Miao Wang, Shao-Ping Lu, Yu-Kun Lai, Yong-Liang Yang, Paul L. Rosin, Meng Yao Cui |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Visual perception
Spinning Dancer Computer science media_common.quotation_subject Illusion 02 engineering and technology Silhouette Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Computer vision 3D reconstruction Sensory cue media_common kinetic depth effects business.industry Perspective (graphical) 020207 software engineering QA75.5-76.95 Computer Graphics and Computer-Aided Design Electronic computers. Computer science 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence Depth perception business perceptual factor analysis |
| Zdroj: | Computational Visual Media, Vol 6, Iss 3, Pp 265-277 (2020) |
| ISSN: | 2096-0662 2096-0433 |
| Popis: | Humans have the ability to perceivekinetic depth effects, i.e., to perceived 3D shapes from 2D projections of rotating 3D objects. This process is based on a variety of visual cues such as lighting and shading effects. However, when such cues are weak or missing, perception can become faulty, as demonstrated by the famous silhouette illusion example of thespinning dancer. Inspired by this, we establish objective and subjective evaluation models of rotated 3D objects by taking their projected 2D images as input. We investigate five different cues: ambient luminance, shading, rotation speed, perspective, and color difference between the objects and background. In the objective evaluation model, we first apply 3D reconstruction algorithms to obtain an objective reconstruction quality metric, and then use quadratic stepwise regression analysis to determine weights of depth cues to represent the reconstruction quality. In the subjective evaluation model, we use a comprehensive user study to reveal correlations with reaction time and accuracy, rotation speed, and perspective. The two evaluation models are generally consistent, and potentially of benefit to inter-disciplinary research into visual perception and 3D reconstruction. |
| Databáze: | OpenAIRE |
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