Person

Zafer Arican

This person is no longer with EPFL

Related publications (13)

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Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

Pascal Frossard, Zafer Arican

We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operators on non-Euclidian manifolds that describe the mirror and lens structure in ...

Institute of Electrical and Electronics Engineers2012

Joint registration and super-resolution with omnidirectional images

Pascal Frossard, Zafer Arican

This paper addresses the reconstruction of high resolution omnidirectional images from multiple low resolution images with inexact registration. When omnidirectional images from low resolution vision sensors can be uniquely mapped on the 2-sphere, such a r ...

Institute of Electrical and Electronics Engineers2011

Analysis of Multiview Omnidirectional Images in a Spherical Framework

Zafer Arican

With the increasing demand of information for more immersive applications such as Google Street view or 3D movies, the efficient analysis of visual data from cameras has gained more importance. This visual information permits to extract some crucial inform ...

EPFL2010

OmniSIFT: Scale Invariant Features in Omnidirectional Images

Pascal Frossard, Zafer Arican

2010

Sampling-aware Polar Descriptors on the Sphere

Pascal Frossard, Zafer Arican

We present a new descriptor and feature matching solution for omnidirectional images. The descriptor builds on the log-polar planar descriptors, but adapts to the specific geometry and non-uniform sampling density of spherical images. We further propose a ...

2010

Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

Pascal Frossard, Zafer Arican

2010

Disparity Search Range Estimation: Enforcing Temporal Consistency

Zafer Arican

This paper presents a new approach for estimating the disparity search range in stereo video that enforces temporal consistency. Reliable search range estimation is very important since an incorrect estimate causes most stereo matching methods to get trapp ...

2010

Dense Depth Estimation from Omnidirectional Images

Pascal Frossard, Zafer Arican

This paper addresses the problem of dense disparity estimation in networks of omnidirectional cameras. We propose to map omnidirectional images on the 2-sphere, and we perform disparity estimation directly on the sphere in order to preserve the geometry of ...

2009

Joint registration and super-resolution with omnidirectional images

Pascal Frossard, Zafer Arican

2009

l1 Regularized Super-resolution From Unregistered Omnidirectional Images

Pascal Frossard, Zafer Arican

In this paper, we address the problemof super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in omnidirectional vision scenarios with reduced resolution sensors in imperfect ...

2009