What Do Four Points in Two Calibrated Images Tell Us about the Epipoles?

2004 ◽  
pp. 41-57 ◽  
Author(s):  
David Nistér ◽  
Frederik Schaffalitzky
Keyword(s):  
Calibrated Images

scholarly journals Automatic Object Segmentation from Calibrated Images

2011 ◽  
Author(s):  
Neill D.F. Campbell ◽  
George Vogiatzis ◽  
Carlos Hernandez ◽  
Roberto Cipolla
Keyword(s):  
Object Segmentation ◽  
Calibrated Images

D-LSD: A Distorted Line Segment Detector for Calibrated Images

2021 ◽  
pp. 422-431
Author(s):  
David Zuñiga-Noël ◽  
Francisco-Angel Moreno ◽  
Javier Gonzalez-Jimenez
Keyword(s):  
Line Segment ◽  
Calibrated Images

Shape and Size of Dental Arch

2006 ◽  
Vol 45 (02) ◽  
pp. 191-194 ◽  
Author(s):  
E. Tauferová ◽  
Z. Teuberová ◽  
M. Seydlová ◽  
V. Smutný ◽  
J. Racek ◽  
...  
Keyword(s):  
Reference Points ◽  
Dental Arch ◽  
Special Device ◽  
Initial Examination ◽  
Arch Width ◽  
Optical Head ◽  
Significant Difference ◽  
Before And After ◽  
Dental Arch Width ◽  
Calibrated Images

Summary Objectives: The diagnostic procedure commences with the initial examination, during which a number of individual findings of the occlusion or malocclusion are clarified [1]. The objective is to describe the morphological and functional characteristics on each patient using specific guidelines, and then to provide a prognosis of the therapy. Upper and lower arch compression in first premolars and molars area was visible before treatment. Methods: A special device (Czech technical university research prototype) was prepared for this purpose. The optical head contains a digital color camera. The front of the optical head consists of a removable prism which is put into the mouth. The findings can display live images from the camera, which can be archived on a PC. The device captured and geometrically calibrated images permitting comparison of several different dental casts. Results: In the first part of this study 792 sets of study plaster casts were screened. Measurements of dental arch width between reference points of canines, first premolars and first molars were made: upper jaw: men: 3-3 – 35.1 mm (SE 0.13); 4-4 – 37.5 mm (SE 0.13); 6-6 – 48.1 mm (SE 0.19); women: 3-3 – 33.4 mm (SE 0.13); 4-4 – 35.6 mm (SE 0.15); 6-6 – 46.7 mm (SE 0.19). The second part concerns the group of 36 patients which is different from the 792 controls. There were studied changes between initial, post-treatment and post-retention alignment of upper and lower dental arch. Conclusions: Geometrically calibrated images help compare several different steps of the treatment and show a significant difference between patients before and after treatment.

scholarly journals Outdoor Air Quality Level Inference via Surveillance Cameras

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Zheng Zhang ◽  
Huadong Ma ◽  
Huiyuan Fu ◽  
Liang Liu ◽  
Cheng Zhang
Keyword(s):  
Air Quality ◽  
Quality Level ◽  
Outdoor Air ◽  
Learning To Learn ◽  
Outdoor Air Quality ◽  
Air Quality Prediction ◽  
Surveillance Cameras ◽  
Image Set ◽  
Air Quality Monitoring Stations ◽  
Calibrated Images

Air pollution is a universal problem confronted by many developing countries. Because there are very few air quality monitoring stations in cities, it is difficult for people to know the exact air quality level anytime and anywhere. Fortunately, large amount of surveillance cameras have been deployed and can capture image densely and conveniently. In this case, this provides the possibility to utilize surveillance cameras as sensors to obtain data and predict the air quality level. To this end, we present a novel air quality level inference approach based on outdoor images. Firstly, we explore several features extracted from images as the robust representation for air quality prediction. Then, to effectively fuse these heterogeneous and complementary features, we adopt multikernel learning to learn an adaptive classifier for air quality level inference. In addition, to facilitate the research, we construct an Outdoor Air Quality Image Set (OAQIS) dataset, which contains high quality registered and calibrated images with rich labels, that is, concentration of particles mass (PM), weather, temperature, humidity, and wind. Extensive experiments on the OAQIS dataset demonstrate the effectiveness of the proposed approach.

3D Reconstruction from Un-Calibrated Images Using Optical Flow Magnitude Based Method

2017 ◽  
Vol 23 (5) ◽  
pp. 3955-3959
Author(s):  
Intan Syaherra Ramli ◽  
Rahmita Wirza O. K Rahmat ◽  
Ng Seng Beng ◽  
Puteri Suhaiza Sulaiman ◽  
Hizmawati Madzin
Keyword(s):  
3D Reconstruction ◽  
Optical Flow ◽  
Calibrated Images
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