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- Ville Ojansivu, Janne Heikkilä
- ICISP
- 2008
In this paper, we propose a new descriptor for texture classification that is robust to image blurring. The descriptor utilizes phase information computed locally in a window for every image… (More)
- Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkilä
- ECCV
- 2010
In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The proposed saliency measure is… (More)
- Janne Heikkilä, Olli Silvén
- CVPR
- 1997
In geometrical camer a calibration the objective is to determine a set of camer a parameter s that describe the mapping between 3-D r eference coor dinates and 2-D ima ge coordinates. Various methods… (More)
- Janne Heikkilä
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2000
Modern CCD cameras are usually capable of a spatial accuracy greater than 1/50 of the pixel size. However, such accuracy is not easily attained due to various error sources that can affect the image… (More)
- Timo Ahonen, Esa Rahtu, Ville Ojansivu, Janne Heikkilä
- 2008 19th International Conference on Pattern…
- 2008
In this paper, recognition of blurred faces using the recently introduced Local Phase Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform phase in local… (More)
- Marko Heikkilä, Matti Pietikäinen, Janne Heikkilä
- BMVC
- 2004
The detection of moving objects from video frames plays an important and often very critical role in different kinds of machine vision applications including human detection and tracking, traffic… (More)
- Esa Rahtu, Mikko Salo, Janne Heikkilä
- IEEE Transactions on Pattern Analysis and Machine…
- 2005
This paper presents a new affine invariant image transform called multiscale autoconvolution (MSA). The proposed transform is based on a probabilistic interpretation of the image function. The method… (More)
- Ville Ojansivu, Esa Rahtu, Janne Heikkilä
- 2008 19th International Conference on Pattern…
- 2008
This paper introduces a rotation invariant extension to the blur insensitive local phase quantization texture descriptor. The new method consists of two stages, the first of which estimates the local… (More)
Salient region detection has gained a great deal of attention in computer vision. It is useful for applications such as adaptive video/image compression, image segmentation, anomaly detection, image… (More)