Visual perception of surface properties through manipulation

2021 ◽  
Vol 2021 (29) ◽  
pp. 66-70
Author(s):  
James A. Ferwerda ◽  
Snehal A. Padhye

Vision is a component of a perceptual system whose function is to support purposeful behavior. In this project we studied the perceptual system that supports the visual perception of surface properties through manipulation. Observers were tasked with finding dents in simulated flat glossy surfaces. The surfaces were presented on a tangible display system implemented on an Apple iPad, that rendered the surfaces in real time and allowed observers to directly interact with them by tilting and rotating the device. On each trial we recorded the angular deviations indicated by the device's accelerometer and the images seen by the observer. The data reveal purposeful patterns of manipulation that serve the task by producing images that highlight the dent features. These investigations suggest the presence of an active visuo-motor perceptual system involved in the perception of surface properties, and provide a novel method for its study using tangible display systems

Author(s):  
Rafael Radkowski ◽  
James Oliver

This paper presents a novel method for view-dependent rendering for monitor-based Augmented Reality (AR) applications that enhances natural visual perception. A typical monitor-based AR workstation incorporates a large monitor that acts as a window to the physical workspace in front of it. Although these workstations are often used in industrial AR applications, they unfortunately do not provide natural visual perception. This research focuses on the development of AR system and a novel method for real-time rendering of the augmented scene that incorporates the user’s point of view. Thus, the user gets the impression of natural visual perception while moving in front of the monitor. This paper introduces the hardware setup, geometric registration to determine the correct view, and image processing. A sequence of images is presented that demonstrates the advantages of this method.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.


2006 ◽  
Vol 1288 ◽  
pp. 756-758 ◽  
Author(s):  
T. Schwark ◽  
C. Fisch-Kohl ◽  
N. von Wurmb-Schwark

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