Face Profile View Retrieval Using Time of Flight Camera Image Analysis

Author(s):  
Piotr Bratoszewski ◽  
Andrzej Czyżewski
Atmosphere ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 808 ◽  
Author(s):  
Jean-Luc Baray ◽  
Asmaou Bah ◽  
Philippe Cacault ◽  
Karine Sellegri ◽  
Jean-Marc Pichon ◽  
...  

We present a simple algorithm that calculates the cloud occurrence frequency at an altitude site using automatic camera image analysis. This algorithm was applied at the puy de Dôme station (PUY, 1465 m. a.s.l., France) over 2013–2018. Cloud detection thresholds were determined by direct comparison with simultaneous in situ cloud probe measurements (particulate volume monitor (PVM) Gerber). The cloud occurrence frequency has a seasonal cycle, with higher values in winter (60%) compared to summer (24%). A cloud diurnal cycle is observed only in summer. Comparisons with the larger scale products from satellites and global model reanalysis are also presented. The NASA cloud-aerosol transport system (CATS) cloud fraction shows the same seasonal and diurnal variations and is, on average, 11% higher. Monthly variations of the ECMWF ERA-5 fraction of cloud cover are also highly correlated with the camera cloud occurrence frequency, but the values are 19% lower and up to 40% for some winter months. The METEOSAT-SEVIRI cloud occurrence frequency also follows the same seasonal cycle but with a much smaller decrease in summer. The all-sky imager cloud fraction (CF) presents larger variability than the camera cloud occurrence but also follows similar seasonal variations (67% in winter and 44% in summer). This automatic low-cost detection of cloud occurrence is of interest in characterizing altitude observation sites, especially those that are not yet equipped with microphysical instruments and can be deployed to other high-altitude sites equipped with cameras.


Author(s):  
B Kroell ◽  
S Starlinger ◽  
B Eitzinger

AbstractThe objective of this contribution is to characterise the distribution of adhesive between the plug wrap paper and the tipping paper on a finished cigarette. On the one hand, it is well known that this distribution influences various properties of the cigarette, but on the other hand, there are no methods available to completely determine this distribution. The area covered by adhesive, the amount of adhesive, and the thickness and position of the adhesive layer between the plug wrap and the tipping paper were chosen as essential quantities. Image analysis was used to evaluate the area covered by adhesive, and the amount of adhesive between the papers. The thickness and position of the adhesive layer were determined by processing pictures of paper cross-sections obtained with a time-of-flight secondary ion mass spectrometer (TOF-SIMS).


2016 ◽  
Vol 13 (3) ◽  
pp. 131 ◽  
Author(s):  
Surasak Sangkhathat ◽  
Parinya Parinyanut ◽  
Tai Bandisak ◽  
Piyawan Chiengkriwate ◽  
Sawit Tanthanuch

2008 ◽  
Vol 50 (3) ◽  
pp. 178-178
Author(s):  
Hee-Chul Eun ◽  
E Lee ◽  
S An ◽  
S Moon ◽  
I Cahang

2009 ◽  
Vol 395 (6) ◽  
pp. 1867-1876 ◽  
Author(s):  
Stefanie Jaeger ◽  
Markus Ehni ◽  
Christina Eberhardt ◽  
Massimo Rolle ◽  
Peter Grathwohl ◽  
...  

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