ACM Transactions on

Applied Perception (TAP)

Latest Articles

Introduction to Special Issue SAP 2018

Perceptual Adjustment of Eyeball Rotation and Pupil Size Jitter for Virtual Characters

Eye motions constitute an important part of our daily face-to-face interactions. Even subtle details in the eyes’ motions give us clues about... (more)

Analysis of Hair Shine Using Rendering and Subjective Evaluation

Hair shine is a highly desirable attribute to consumers within the cosmetic industry and is also an important indicator of hair health. However,... (more)

Foveated Depth-of-Field Filtering in Head-Mounted Displays

In recent years, a variety of methods have been introduced to exploit the decrease in visual acuity of peripheral vision, known as foveated rendering.... (more)

Comparison of Unobtrusive Visual Guidance Methods in an Immersive Dome Environment

In this article, we evaluate various image-space modulation techniques that aim to unobtrusively guide viewers’ attention. While previous... (more)



About TAP

ACM Transactions on Applied Perception aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields.

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Light Shapes: Perception-Based Visualizations of the Global Light Transport

In computer graphics, illuminating a scene is a complex task, typically consisting of cycles of adjusting and rendering the scene to see the e ects. We propose a technique for visualization of light as a tensor eld via extracting its properties (i.e. intensity, direction, di useness) from radiance measurements and showing these properties as a grid of shapes over a volume of a scene. Presented in the viewport, our visualizations give an understanding of the illumination conditions in the measured volume for both the local values and the global variations of light properties. Additionally, they allow quick inferences of the resulting visual appearance of (objects in) scenes without the need to render them. In our evaluation, observers performed at least as well using visualizations as using renderings when they were comparing illumination between parts of a scene and inferring the nal appearance of objects in the measured volume. Therefore, the proposed visualizations are expected to help lighting professionals by providing perceptually relevant information about the light in a scene.

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