You're viewing YouTube in English (US).
Switch to another language: | | | | | | | | | | View all
You're viewing YouTube in English.
Switch to another language: | | | | | | | | | | View all

3D reconstruction from RGB and Depth Video





Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Uploaded on Jun 19, 2011

3D reconstruction of objects has been an active area of research for over 30 years now. In this project we explore the possibilities for 3D reconstruction of rigid objects using depth sensors coupled with traditional RGB cameras. More precisely, we use the RGB feed to find correspondences using the ASIFT (Affine scale-invariant feature transform) algorithm and ICP (iterative closest point) on the depth feed to estimate the transformation between the frames. We finalize the reconstruction by using a level-set reconstruction method to smooth the result and fill potential holes in the accumulated depth map.

  • Category

  • License

    • Standard YouTube License


When autoplay is enabled, a suggested video will automatically play next.

Up next

to add this to Watch Later

Add to

Loading playlists...