3D face reconstruction using stereo images and structured light

Download

index.pdf

Date

2007

Author

Öztürk, Ahmet Oğuz

Metadata

Show full item record

Item Usage Stats

281
views

262
downloads

Nowadays, 3D modelling of objects from multiple images is a topic that has gained great recognition and is widely used in various fields. Recently, lots of progress has been made in identification of people using 3D face models, which are usually reconstructed from multiple face images. In this thesis, a system including stereo cameras and structured light is built for the purpose of 3D modelling. The system outputs are 3D shapes of the face and also the texture information registered to this shape. Although the system in this thesis is developed for face reconstruction, it is not specific to faces. Using the same methodology proposed in this study 3D reconstruction of any object can be achieved.

Subject Keywords

Computer Engineering., Computer Hardware.

URI

http://etd.lib.metu.edu.tr/upload/2/12609015/index.pdf
https://hdl.handle.net/11511/17423

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

3d geometric hashing using transform invariant features Eskizara, Ömer; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2009) 3D object recognition is performed by using geometric hashing where transformation and scale invariant 3D surface features are utilized. 3D features are extracted from object surfaces after a scale space search where size of each feature is also estimated. Scale space is constructed based on orientation invariant surface curvature values which classify each surface point's shape. Extracted features are grouped into triplets and orientation invariant descriptors are defined for each triplet. Each pose of eac...
Image segmentation with Improved region modeling Ersoy, Ozan; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2004) Image segmentation is an important research area in digital image processing with several applications in vision-guided autonomous robotics, product quality inspection, medical diagnosis, the analysis of remotely sensed images, etc. The aim of image segmentation can be defined as partitioning an image into homogeneous regions in terms of the features of pixels extracted from the image. Image segmentation methods can be classified into four main categories: 1) clustering methods, 2) region-based methods, 3) ...
3D face reconstruction using stereo vision Dikmen, Mehmet; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2006) 3D face modeling is currently a popular area in Computer Graphics and Computer Vision. Many techniques have been introduced for this purpose, such as using one or more cameras, 3D scanners, and many other systems of sophisticated hardware with related software. But the main goal is to find a good balance between visual reality and the cost of the system. In this thesis, reconstruction of a 3D human face from a pair of stereo cameras is studied. Unlike many other systems, facial feature points are obtained a...
Multi-camera video surveillance : detection, occlusion handling, tracking and event recognition Akman, Oytun; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2007) In this thesis, novel methods for background modeling, tracking, occlusion handling and event recognition via multi-camera configurations are presented. As the initial step, building blocks of typical single camera surveillance systems that are moving object detection, tracking and event recognition, are discussed and various widely accepted methods for these building blocks are tested to asses on their performance. Next, for the multi-camera surveillance systems, background modeling, occlusion handling, tr...
Improving interactive classification of satellite image content Tekkaya, Gökhan; Atalay, Mehmet Volkan; Department of Computer Engineering (2007) Interactive classication is an attractive alternative and complementary for automatic classication of satellite image content, since the subject is visual and there are not yet powerful computational features corresponding to the sought visual features. In this study, we improve our previous attempt by building a more stable software system with better capabilities for interactive classication of the content of satellite images. The system allows user to indicate a few number of image regions that contain a...

Citation Formats

A. O. Öztürk, “3D face reconstruction using stereo images and structured light,” M.S. - Master of Science, Middle East Technical University, 2007.