A 3D reconstruction from real-time stereoscopic images using GPU
This presentation is the property of its rightful owner.
Sponsored Links
1 / 1

A 3D reconstruction from real-time stereoscopic images using GPU PowerPoint PPT Presentation


  • 99 Views
  • Uploaded on
  • Presentation posted in: General

A 3D reconstruction from real-time stereoscopic images using GPU. GOMEZ-BALDERAS, Jose-Ernesto, GIPSA-lab, [email protected] HOUZET, Dominique, GIPSA-lab, [email protected] Abstract

Download Presentation

A 3D reconstruction from real-time stereoscopic images using GPU

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


A 3d reconstruction from real time stereoscopic images using gpu

A 3D reconstruction from real-time stereoscopic images using GPU

GOMEZ-BALDERAS, Jose-Ernesto, GIPSA-lab,

[email protected]

HOUZET, Dominique, GIPSA-lab,

[email protected]

  • Abstract

  • We propose 3D reconstruction method that uses a Graphics Processors Unit (GPU) and a disparity map from block matching algorithm (BM).

  • Context

  • Strategy

  • Our algorithm uses two stereoscopic video sequences like inputs and then it processes the two stereoscopic images using a GPU and then we can visualize a 3D reconstruction in real-time.

  • Methods

  • Recent trends show that there is a high demand of 3D imaging in:

  • Media and entertainment,

  • Defense and Security,

  • Architecture and Engineering.

  • 3D technology is being implemented in various objects as it provides a more realistic view than 2D:

  • Machine vision

  • Image segmentation for object recognition

  • Defense and security via its usage in simulation

  • Facial identification and target detection

Capture Images and Color to Grey Conversion :color stereo images pair on RGB space are converted into grey space images pair.

Sobel Filter and Rectified Stereo Images: we have reduced our search in 1D using the epipolar geometry (el=er) of the two images.

Stereoscopic Block Matching Algorithm in GPU On CUDA each thread performs the computation to obtain the disparity map dmB.

Reproject disparity map to 3D: a point in 2D can be reprojected into 3D dimensions given their coordinates and the camera intrinsic matrix.

3D reconstruction visualization of point clouds: we calculate the 3D coordinates of each point using the disparity map dmB and we use a cloud point structure, PC(i)={Xi, Yi, Zi, Ri, Gi, Bi} to visualize in real-time.

Results

The computer we used in experiments is equipped with an Intel Core i7 3.07GHz, 5GB memory.

Conclusions

Experimental results show a speedup factor (4x faster) of our system in contrast to CPU system. In addition, the achieved speedup shows the importance of parallel algorithms and computing architectures in GPGPU. With real-time performance, our system is suitable for practical applications.

Grenoble Images Parole Signal Automatique

UMR CNRS 5216 – Grenoble Campus

38400 Saint Martin d’Hères - FRANCE


  • Login