3D reconstruction using convolution smooth method

Sofyan Arifianto, Hardianto Wibowo, Wildan Suharso, Raditya Novidianto, Agus Eko Minarno, Dani Harmanto


3D image is something image with depth data or often also called with depth. use of 3D depth sensors in 3D cameras still many have a weakness, especially on results The resulting image. Raw data generated by camera intel realsense these still not yet seen Nice. In research, this will used method Convolution smooth for do repair 3D image. Noise in the image could be removed and smoothed, but this smooth operation have effect equalization level gray, so images obtained look more run away contrast. Effect blurring this called blurring effect. Conclusion of the research is the method can be applied on 3D image, but not perfect. There are many problems can fix it for the next research, one of is the predicted for the motive from the object tested, so we can get be perfect for the result.


3D image; convolution smooth; image;

DOI: https://doi.org/10.11591/eei.v10i3.1991


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