Scenic word images undergo degradations due to motion blur, uneven illumination, shadows and defocussing, which lead to difficulty in segmentation. As a result, the recognition results reported on the scenic word imag...
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A novel graph theoretic approach is proposed for recognizing each of the six basic prototypic human emotional facial expressions from a video sequence. The feature used, called a Shape-Motion-Descriptor (SMD), is base...
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Loss of information in wavelet transform domain may occur while transmitting images represented in JPEG 2000. This produces artifacts like black holes, degraded edges and correlated damage patterns in received images....
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In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Patt...
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ISBN:
(纸本)9781601322258
In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Pattern, which enhances the information as each pixel is represented as a binary LDP code. The Finger-Knuckle-Print is divided into smaller areas and LDP histograms are extracted from each block, which are used to graphically represent the information. The experimental results demonstrate the effectiveness of LDP achieving 97.67% classification accuracy for finger knuckle print based authentication.
graphics models are getting increasingly bulkier with detailed geometry, textures, normal maps, etc. There is a lot of interest to model and navigate through detailed models of large monuments. Many monuments of inter...
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Recently, many data embedding schemes using the quantized DCT coefficients have been proposed for achieving the robustness. However, most of the schemes lack to strike a trade off between the embedding capacity and th...
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This paper presents a novel set of color descriptors for object and scene image classification. We first introduce a new Gabor-PHOG (GPHOG) descriptor by concatenating the Pyramid of Histograms of Oriented Gradients (...
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The shape of biomolecules, such as proteins, may be represented using different representations like space-fill, ballstick, backbone, or secondary structures. The secondary structure of proteins, comprising of sheet-l...
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In certain imaging applications, the captured images are corrupted by Poisson noise. For such images, Poisson unbiased risk estimate (PURE) has been proposed as an unbiased estimator of the mean square error between t...
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ISBN:
(纸本)9781601322258
In certain imaging applications, the captured images are corrupted by Poisson noise. For such images, Poisson unbiased risk estimate (PURE) has been proposed as an unbiased estimator of the mean square error between the original and estimated images. By minimizing PURE, noise can be reduced. PURE was originally defined in the Haar wavelet domain. Since the wavelet functions are isotropic in every scale and have limited directional capabilities, the denoising performance obtained by minimizing PURE is poor around the discontinuities in the images. To overcome these limitations, we extend PURE to the Haar directionlet domain. We show by simulations that minimizing PURE in the directionlet domain results in better denoising per-formance when compared to minimizing it in the wavelet domain.
This paper presents a new method to detect space time interest point (STIP) from video data. We use three dimensional facet model to detect STIP and call it as facet space-time interest point or FaSTIP. The proposed a...
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