TY - GEN
T1 - Measurement of absolute latency for video see through augmented reality
AU - Sielhorst, Tobias
AU - Sa, Wu
AU - Khamene, Ali
AU - Sauer, Frank
AU - Navab, Nassir
PY - 2007
Y1 - 2007
N2 - Latency is a key property of video see through AR systems since users' performance is strongly related to it. However, there is no standard way of latency measurement of an AR system in the literature. We have created a stable and comparable way of estimating the latency in a video see through AR system. The latency is estimated by encoding the time in the image and decoding the time after camera feedback. We have encoded the time as a translation of a circle in the image. The cross ratio has been used as an image feature that is preserved in a projective transformation. The encoding allows for a simple but accurate way of decoding. We show that this way of encoding has an adequate accuracy for latency measurements. As the method allows for a series of automatic measurements we propose to visualize the measurements in a histogram. This histogram reveals meaningful information about the system other than the mean value and standard deviation of the latency. The method has been tested on four different AR systems that use different camera technology, resolution and frame rates.
AB - Latency is a key property of video see through AR systems since users' performance is strongly related to it. However, there is no standard way of latency measurement of an AR system in the literature. We have created a stable and comparable way of estimating the latency in a video see through AR system. The latency is estimated by encoding the time in the image and decoding the time after camera feedback. We have encoded the time as a translation of a circle in the image. The cross ratio has been used as an image feature that is preserved in a projective transformation. The encoding allows for a simple but accurate way of decoding. We show that this way of encoding has an adequate accuracy for latency measurements. As the method allows for a series of automatic measurements we propose to visualize the measurements in a histogram. This histogram reveals meaningful information about the system other than the mean value and standard deviation of the latency. The method has been tested on four different AR systems that use different camera technology, resolution and frame rates.
KW - H.5.2 [information interfaces and presentation]:User interfaces
KW - Standardization, benchmarking
UR - https://www.scopus.com/pages/publications/50649107256
U2 - 10.1109/ISMAR.2007.4538850
DO - 10.1109/ISMAR.2007.4538850
M3 - Conference contribution
AN - SCOPUS:50649107256
SN - 9781424417506
T3 - 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR
SP - 215
EP - 220
BT - 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR
PB - IEEE Computer Society
T2 - 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR
Y2 - 13 November 2007 through 16 November 2007
ER -