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In this paper we present a novel image representation method which treats images as frequency histograms of salient features. The histograms are computed making use of linear discriminant analysis (LDA). The method employs saliency feature extraction and image binarisation. Then subspace-projected features are extracted. Using the saliency maps as the positive and negative labels, the image features...
This paper proposes a simple and efficient detection framework that uses reduced-set kernels. We first describe our approach which reduces the number of kernels. A convex optimization method is used for calculating the reduced sets. Following this, we propose a method that optimally designs the cascade. Our experimental results indicate that our method minimizes complexity regarding the number of...
Many object categories are better characterized by the shape of their contour than by local appearance properties like texture or color. Multi-local features are designed in order to capture the global discriminative structure of an object while at the same time avoiding the drawbacks with traditional global descriptors such as sensitivity to irrelevant image properties. The specific structure of...
A graph cuts method has recently attracted a lot of attention for image segmentation, as it can minimize an energy function composed of data term estimated in feature space and smoothness term estimated in an image domain. Although previous approaches using graph cuts have shown good performance for image segmentation, they manually obtained prior information to estimate the data term, thus automatic...
An iterative algorithm for the reconstruction of natural images given only their contrast map is presented. The solution is neuro-physiologically inspired, where the retinal cells, for the most part, transfer only the contrast information to the cortex, which at some stage performs reconstruction for perception. We provide an image reconstruction algorithm based on least squares error minimization...
A novel touching cells splitting algorithm by using concave points and ellipse fitting is proposed to split circle-like or ellipse-like touching cells in this paper. The algorithm is divided into two parts. The first part is contour pre-processing, whose purpose is to find the concave points of the contour and separate the contour into different segments using the concave points. The second part is...
Converting scanned gray-level images into binary format, while retaining the foreground and removing the background is a very important step in document image analysis. An application is in processing security documents, such as identification cards, passports and residency cards, which contain watermarks and special hidden features. Bi-level thresholding of document images with non-uniform illumination,...
A three-dimensional whitening filter based on linear prediction is described. It is designed to remove textured backgrounds, with spatial and temporal correlation, in data streams acquired from imaging electro-optic sensors operating in visible, Ultra-Violet (UV) or Infra-Red (IR) bands. The background is modeled as an Auto-Regressive (AR) process. The operation of the filter is examined using real...
Size measurement of rocks is usually performed by manual sampling and sieving techniques. Automatic on-line analysis of rock size based on image analysis techniques would allow non-invasive, frequent and consistent measurement. In practical measurement systems based on image analysis techniques, the surface of rock piles will be sampled and therefore contain overlapping rock fragments. It is critical...
Many computer vision methods rely on frame registration information obtained with algorithms such as the Kanade-Lucas-Tomasi (KLT) feature tracker, which is known for its excellent performance in that area. Various research groups proposed methods to extend its performance, both in terms of execution time and stability. Recent research has shown that current graphics processing units (GPUs) have proven...
This paper presents a novel algorithm for robust object tracking based on the particle filtering method employed in recursive Bayesian estimation and image segmentation and optimisation techniques employed in active contour models and level set methods. The proposed Geometric Active contour-based Tracking Estimator, namely GATE, enables particle filters to track object of interest in complex environments...
In this paper we evaluate and compare six well-known foreground from background subtraction methods against a standard database. To be able to compare these algorithms objectively, we have chosen three challengeable scenarios from this database. The algorithms were applied to image sequences of length 100 to 800 frames. We examined the results thoroughly and supported the experimental results with...
Global motion estimation (GME) is a fundamental problem in video compression and has been one of the most complex algorithms in digital video processing. The efficiency of real-time video processing operations has an important impact on the cost and realizability of complex algorithms, such as global motion estimation. Most digital video processing is carried out with a precision of 8 bits per pixel,...
The motion capture technique is gathering more and more attention because of its powerful potential for providing life-like motions in computer graphics (CG) animation via sample-based motion creating techniques. Since motion data is multi-dimensional and spatio-temporal data that is difficult to edit as desired, an effective scheme for reusing captured motion sets to create new motion is advantageous...
A graph-cut method has been successfully used in many applications for image segmentation. However, it needs lots of time and user intervention. In case of multi view image (MVI), it is especially hard to segment all images in a short time because of numerous images in MVI. In this paper, we describe a new technique for multi view image segmentation, which needs minimum user intervention and provides...
This paper surveys the topic of 3D face reconstruction using 2D images from a computer science perspective. Various approaches have been proposed as solutions for this problem but most have their limitations and drawbacks. Shape from shading, shape from silhouettes, shape from motion and analysis by synthesis using morphable models are currently regarded as the main methods of attaining the facial...
This paper presents a method for constructing a biomechanical breast model which does not require an initial time- and labour-intensive segmentation of the breast tissue. This is achieved by mapping voxel intensity and enhancement levels directly to Youngpsilas modulus values characteristic of the respective tissues. We demonstrate this new method by incorporating it into a biomechanically based registration...
Remotely sensed, high spatial resolution images have great potential in assisting vegetation management in power line corridor. With the wide use of object-based approaches in remote sensing image analysis, individual tree crown delineation becomes a key research focus to improve the accuracy of plant information extraction. Although many algorithms have been investigated for individual tree crown...
This paper proposes a new method for object retrieval in image and video databases. The proposed system uses the histogram based approach along with Angular Radial Representation (ARR). In addition, concepts of Dominant Colors (DCs) and morphological dilation using ring-shaped and fan-shaped Structuring Elements (SEs) are also applied. It is found that the approach is not only invariant to rotation,...
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