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Publikováno v:
ICIP
No-reference measurement of blurring artifacts in images is a challenging problem in image quality assessment field. One of the difficulties is that the inherently blurry regions in some natural images may disturb the evaluation of blurring artifacts
Autor:
Kazuhiro Hotta
Publikováno v:
ICIP
This paper presents a scene classification method based on local autocorrelation of similarities with subspaces. Although conventional methods used bag-of-visual words for scene classification, superior accuracy of Kernel Principal Component Analysis
Publikováno v:
ICIP
Dynamic textures are image sequences with visual pattern repetition in time and space, such as smoke, flames, moving objects and so on. Dynamic texture synthesis is to provide a continuous and infinitely varying stream of images by doing operations o
Publikováno v:
ICIP
In this paper, we propose and object tracking algorithm to track an object on IR image sequences, which has appearance changes. In our framework based on particle filter, histograms of intensity and orientation on scale space are used as observation
Autor:
Yang Duanduan, Andrzej Sluzek
Publikováno v:
ICIP
Local feature based methods have achieved a great success in the field of image matching due to its invariance under typical image transformations. However, local features are often not invariant under complex non-affine transformations, which makes
Publikováno v:
ICIP
Recent literatures have revealed that statistics of local texture measures can provide accurate descriptions of palmprint appearances. In this framework, one palmprint image is divided into local blocks with multiple spatial resolutions. The statisti
Publikováno v:
ICIP
Recognizing smiles is of much importance for detecting happy moods. Gabor features are conventionally widely applied to facial expression recognition, but the number of Gabor features is usually too large. We proposed to use Pyramid Histogram of Orie
Publikováno v:
ICIP
This paper proposes an algorithm for abandoned object detection based on generative model of low level features. First, suspected blobs are detected by foreground detection and pixel variance thresholding. Then several low level features on blobs are
Publikováno v:
ICIP
This paper presents a new robust digital image stabilization system, which involves a practical motion model based on a feature-histogram. The feature-histogram is used for adaptive selection of feasible motion estimation regions. By estimating the r
Autor:
Debashis Sen, Sankar K. Pal
Publikováno v:
ICIP
Feature space based approaches have been the most popular ones among those used to perform image segmentation. In this paper, a density modification framework is proposed in order to aid feature space based segmentation in images. The framework embed