Interactive Normal Reconstruction from a Single Image
Computer Graphics and Modern Art

 

Project Description:
 

Our goal is to reconstruct a 3D surface from a single image. This operation is important for modeling and processing software. Our approach consists of two parts. First, we introduce a novel shape-from-shading algorithm (SfS) that produces faithful normal reconstruction for local image region (high-frequency component), but it fails to faithfully recover the overall global structure (low-frequency component). Our second contribution consists of an approach that corrects low frequency error using a simple markup procedure. Combining these two approaches, we can produce high-quality surfaces quickly from single images.



Project Goal:
 

In this project we will develop algorithm and create an application.

Project Details:
 
  1. Supervisor:
    David Ben-Haim
    Phone: 04-8295741
    Email: hovav@ee.technion.ac.il
  2. Field:
    Computer Graphics and Modern Art
  3. Requirements:
    MATLAB or C/C++
    Computer Graphics or Image Processing

  4. Project status:
    Taken by the students Alex Kadner and Shaby Barel
  5. Visit:
    Project web site
 
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