Three dimensional image reconstruction using interpolation of distance and image registration
| Autor: | Prasad D. Khandekar, Yogesh H. Dandawate, Sahil Agarwal, Sanket Khade |
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| Rok vydání: | 2015 |
| Předmět: |
Demosaicing
business.industry Template matching ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Bilinear interpolation Stairstep interpolation Computer graphics (images) Image scaling Bicubic interpolation Computer vision Artificial intelligence business Image resolution Image restoration Mathematics |
| Zdroj: | 2015 International Conference on Computer, Communication and Control (IC4). |
| DOI: | 10.1109/ic4.2015.7375709 |
| Popis: | Three dimensional view of objects is becoming of utmost importance. In day to day technology and entertainment applications, instead of using traditional multi-view technology. We are proposing estimation of distance co-ordinates using distances obtained by ifm O3D200 three dimensional camera at lower resolution of image pixels. The camera uses laser technology with time of flight principle. The same scene is imaged using high resolution 2D camera. The matching of certain feature points in 3D & 2D camera scene and interpolating distance a 3D view can be reconstructed by simple triangulation process. The main features used are edges linked used Hough transform for matching and image registration. It has been observed that bilinear and bicubic interpolation gives better results eventhough the resolution of 3Dcamera is very less. We further applied technique for computation of volume in water tank and trench, which was very close to the actual measurement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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