A comparison of inpainting techniques in image reanimation

Inpainting applications include object removal on images and videos, crack filling, error concealment, texture synthesis, where in this paper, its usage for image coherence and perspective emphasis on video frames in 2D image-to-video conversion system is analysed. Besides, the performance of different techniques in object removal and image reconstruction is compared using visual experiments and quality metrics.


Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction
BUYUKATALAY, Soner; BİRGÜL, ÖZLEM; Halıcı, Uğur (2009-04-11)
Photometric stereo is a 3D reconstruction algorithm that uses the images of an object with different light conditions and its performance is affected by the shades and specular regions in the images. Especially, the use of Lambert reflectance model results in errors in the reconstructed surface normals. In this study an iterative approach was used to generate masks corresponding to these problematic regions and the surface normals were reconstructed using a Lambert based algorithm that excludes these region...
Object Segmentation in Multi-view Video via Color, Depth and Motion Cues
Cigla, Cevahir; Alatan, Abdullah Aydın (2009-01-01)
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MVV) content has becoming increasingly popular due to its wide application areas in the near future. In this work, object segmentation problem is studied by additional cues due to depth and motion fields. Segmentation is achieved by modeling images as graphical models and performing popular Normalized Cuts method with some modifications. In the graphical models, each node is represented b...
An Investigation on hyperspectral image classifiers for remote sensing
Özdemir, Okan Bilge; Çetin, Yasemin; Department of Information Systems (2013)
Hyperspectral image processing is improved by the capabilities of multispectral image processing with high spectral resolution. In this thesis, we explored hyperspectral classification with Support Vector Machines (SVM), Maximum Likelihood (ML) and KNearest Neighborhood algorithms. We analyzed the effect of training data on classification accuracy. For this purpose, we implemented three different training data selection methods; first N sample selection, randomly N sample selection and uniformly N sample se...
A comparative study on pose estimation algorithms using visual data
Çetinkaya, Güven; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2012)
Computation of the position and orientation of an object with respect to a camera from its images is called pose estimation problem. Pose estimation is one of the major problems in computer vision, robotics and photogrammetry. Object tracking, object recognition, self-localization of robots are typical examples for the use of pose estimation. Determining the pose of an object from its projections requires 3D model of an object in its own reference system, the camera parameters and 2D image of the object. Mo...
3D reconstruction of rigid objects from multiple calibrated views
Mülayim, Adem Yaşar; Atalay, Mehmet Volkan; Halıcı, Uğur; Department of Computer Engineering (2003)
In this thesis, an image based three dimensional (3D) model reconstruction system is investigated and the work done for such a complete reconstruction system is presented. Calibrated images of a rigid object, acquired under a simple but controlled environment, are used to recover the 3D object geometry and the surface appereance. Based on a multi-image camera calibration method, an algorithm to define the rotation axis of a turn-table with respect to the fixed camera coordinate frame has been developed. Fur...
Citation Formats
E. S. Böncü and G. Akar, “A comparison of inpainting techniques in image reanimation,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36428.