Applied Perception (TAP)


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ACM Transactions on Applied Perception (TAP) - Special issue SAP 2013, Volume 10 Issue 3, August 2013

Introduction to special issue SAP 2013
Joe Geigel, Jeanine Stefanucci
Article No.: 12
DOI: 10.1145/2506206.2506207

Preference and artifact analysis for video transitions of places
James Tompkin, Min H. Kim, Kwang In Kim, Jan Kautz, Christian Theobalt
Article No.: 13
DOI: 10.1145/2501601

Emerging interfaces for video collections of places attempt to link similar content with seamless transitions. However, the automatic computer vision techniques that enable these transitions have many failure cases which lead to artifacts in the...

Surface perception of planar abstractions
James Mccrae, Niloy J. Mitra, Karan Singh
Article No.: 14
DOI: 10.1145/2501853

Various algorithms have been proposed to create planar abstractions of 3D models, but there has been no systematic effort to evaluate the effectiveness of such abstractions in terms of perception of the abstracted surfaces. In this work, we...

Shape perception of thin transparent objects with stereoscopic viewing
Jianhui Chen, Robert S. Allison
Article No.: 15
DOI: 10.1145/2506206.2506208

Many materials, including water surfaces, jewels, and glassware exhibit transparent refractions. The human visual system can somehow recover 3D shape from refracted images. While previous research has elucidated various visual cues that can...

Evaluation of monocular depth cues on a high-dynamic-range display for visualization
Haider K. Easa, Rafał K. Mantiuk, Ik Soo Lim
Article No.: 16
DOI: 10.1145/2504568

The aim of this work is to identify the depth cues that provide intuitive depth-ordering when used to visualize abstract data. In particular we focus on the depth cues that are effective on a high-dynamic-range (HDR) display: contrast and...

Elastic images: Perceiving local elasticity of images through a novel pseudo-haptic deformation effect
Ferran Argelaguet, David Antonio Gómez Jáuregui, Maud Marchal, Anatole Lécuyer
Article No.: 17
DOI: 10.1145/2501599

We introduce the Elastic Images, a novel pseudo-haptic feedback technique which enables the perception of the local elasticity of images without the need of any haptic device. The proposed approach focus on whether visual feedback is able to...