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The aim of this study is to propose an algorithm for simplifying color images. The assumption is made that a set of reference colors is available and that this set indicates which features are of importance in the image. The goal is then to simplify as much as possible the color image while preserving as much as possible the shapes that are similar to the reference set. The proposed algorithm is in...
We propose a novel scheme that jointly employs anisotropic mean shift and particle filters for tracking moving objects from video. The proposed anisotropic mean shift, that is applied to partitioned areas in a candidate object bounding box whose parameters (center, width, height and orientation) are adjusted during the mean shift iterations, seeks multiple local modes in spatial-kernel weighted color...
In this paper, we present an automatic face replacement approach in photographs based on Active Shape Models (ASM). Our replacement algorithm has three main modules: face alignment, face morph, and seamless blending. First, given an input and target image, we automatically implement face alignment using ASM. Second, we fit a morphable 2D model to the input face, and warp its shape to match the target...
This paper provides a web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
In content-based image retrieval, image has various inherent aspects which reflect its contenets; so how to organize these contents effectively to improve the performance is a valuable research topic. In this paper, a new kind of image retrieval method is proposed which is based on the combined feature of histograms, gray-level co-occurrence matrix and moment invariants. The result of experiment demonstrates...
In this paper, a hybrid algorithm for precise eyes localization in color facial region is presented. In practice, most eye detection suffer from the influence of illumination and face pose. Multiple techniques are integrated in this algorithm to overcome these limitations, such as color space mapping, illumination correction, mouth detection, dynamic threshold and so on. The scheme consists of two...
To overcome the disadvantage of describing contents of an image only with global features, a new color cluster image retrieval algorithm based on object regions is proposed. In this paper, firstly, object regions are extracted from an image, and then a new color cluster algorithm is presented. The algorithm is developed based on HVS color space, histogram intersection and combination of two similarity...
Traffic sign recognition is a technology which allows us to recognize signs in real time, typically in videos, or sometimes just (off-line) in photos. It is used for Driver Assistance Systems (DAS), road surveys, or the management of road assets (to improve road safety). In this paper, we propose a method for general traffic sign recognition (tested for the New Zealand road signs) which combines previously...
Detecting and tracking fingertips are significant techniques for recognizing hand gestures. Many patterns and skin color information are used to extract and trace features. However, to find correct shapes is difficult and there is limitation to express the diversity of models. In this paper, we describe a method of detecting and tracking fingertips based on Active Shape Models (ASMs) and an ellipse...
Reconstructing 3D shapes from 2D images based on structured light is becoming an increasingly important topic in computer vision. However, low resolution and sensitive to environment illumination are the main restriction of this technology for practical application. This paper proposes a new color coded structured light technique for reconstructing object shape from a single image. This technique...
This paper proposes novel algorithms for color based segmentation and shape based matching of forest fires from video frames. Fire pixels from the sample images are collected and compose 3D point cloud in RGB color space, based on which Gaussian mixture model is used to build a more precise color model. According to new definition of flame pattern, possible fire region is further segmented with the...
Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques has been published which shows that traffic signs can be first detected and then classified in video sequences in real time. While detection is usually performed using classical computer vision techniques based on color and/or shape matching,...
Content based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. In our work, we describe an approach to CBIR for various database images that relies on human input machine learning and computer vision. More specifically we apply expert level human interaction for solving that aspect of the problem and we employ machine learning algorithms to allow the system...
The challenging problem of planning manipulation tasks for dexterous robotic hands can be significantly simplified if the robot system has the ability to learn manipulation skills by observing a human demonstrator. Toward this goal, we present a novel computer vision based hand posture recognition system to serve as an intelligent interface for skill transfer in robotic manipulation. We use the inner...
We propose a method to edit RGBNs (images with a color and a normal channel). High resolution RGBNs are easy to obtain using photometric stereo. Free editing will result in normals which do not correspond to any realizable surface. Our normal operators guarantee the integrability of the results. Our method can filter normals with any linear kernel allowing high-pass and edge-enhancement filters. We...
We describe a framework for finding and tracking ??trails?? for autonomous outdoor robot navigation. Through a combination of visual cues and ladar-derived structural information, the algorithm is able to follow paths which pass through multiple zones of terrain smoothness, border vegetation, tread material, and illumination conditions. Our shape-based visual trail tracker assumes that the approaching...
Accurate pupil segmentation is the first and most important step for an iris recognition system. Current methods are based on fitting a model such as circle or ellipse to find and detect pupil, while these methods don't have sufficient accuracy and are sensitive to the specular spot reflection. In this paper, we utilize an optimized color mapping to increase the accuracy of pupil segmentation, regardless...
This paper provides a Web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
Wireless capsule endoscopy (WCE) has been a breakthrough in recent medical technology. It is used to view the gastrointestinal tract and detect abnormalities such as bleeding, Crohn's disease, peptic ulcers, and colon cancer. In this paper data mining techniques are utilized to extract useful information from a dataset of abnormal regions and non-abnormal regions. More specifically, the dataset contains...
An application of content-based image retrieval is proposed for identifying plants, along with a preliminary implementation. The system takes a plant image as input and finds the matching plant from a plant image database and is intended to provide users a simple method to locate information about their house plants. Max-flow min-cut technique is used as the image segmentation method to extract the...
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