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Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate...
“Track and Accumulate” (T&A) is an alternative astronomical image capture method where exposures are combined during imaging by aligning on a reference star. The benefit is an increased dynamic range, thus allowing both bright and dim objects to be captured in the same image. The main limitation is that correlated noise from the frames will form squiggles on the combined image as the result of...
Aiming to realize the safe driving for the elderly people and novice drivers, intelligent vehicle technologies are becoming an important research topic in recent years. While driving, sometimes they cannot handle the car in an emergency due to the poor concentration and reaction. In fact, there are a lot of car accidents caused by such people who occasionally step on the accelerator instead of the...
The aim of this research is on developing a dynamic image matching model (DIMM) for smart devices. People with no knowledge on searching keywords can see the information and make good use of it in their daily life. Although existing search engines (Google, Yahoo etc.) have this systems, but it is necessary to get the information of any objects from anywhere on any platform. To fulfill this requirement...
Image epipolarization in photogrammetry is a common technique used to determine relative orientation based on collinearity and coplanarity, which usually requires scenes with multiple images. In general, these processes require internal orientation parameters, therefore the knowledge of camera calibration and relative orientation parameters between images. This paper presents a new algorithm that...
In this paper, we propose a human-tracking robot that can be used in commercial establishments such as airports and factories. The human-tracking process involves three main steps. The first is robust person identification using QR code recognition, and is the most important step in human tracking. The second is location detection using shape-based pattern matching in order to determine the position...
In this paper, the authors describe on a method of object identification by verification of Hough data. In this study, for corresponding to three-dimensional change of camera, we pay attention to the distribution pattern of Hough data. A positional relationship of the peaks as Hough data shows tendency to be kept, in case of camera shooting condition change. Using a characteristic of Hough data, it...
We present a retrieval-based tracking system that requires less computational time and cost. The system tracks a user's location through a small portion of an image captured by the camera, and then refines the camera pose by propagating matchings to the whole image. Augmented information such as building names and locations will be delivered to the user. The progressive way to process image data not...
Real-time and accurate image matching is a key to stereo vision of agricultural harvesting robots. This research is part of a pineapple harvesting robot project. In this paper, pineapples were selected as research objects and low cost binocular vision platform was constructed, fruit area of left image was got by real-time image acquisition and rapid segmentation, rapid matching of fruit area in left...
At present, there are no adequate solutions which facilitate the interaction of computers to handicapped people. This research addresses that issue and it provides a comprehensive solution for the problem. The product provides an alternative to the conventional mouse using computer vision and voice recognition technologies as key techniques. The user can use his or her nose's relative movements to...
We present an interactive framework for rapid 3D reconstruction of objects from sets of photographs. Our framework implements advanced 2D image-based modeling techniques that accurately compute geometries of digital photorealistic 3D models in a rapid and robust method. It is implemented in an application tool to assist users to perform feature detection, matching and meshing. Our system demonstrates...
This paper deals with automatic characterization of video capture actions like scale change (zoom) or translation (traveling) in a video sequence. The overall objective is to enhance the scripted quality while capturing a video sequence by professionals or non professionals. Ultimately, the capture actions would use a predefined video template, progressively filled by the cameraman and automatically...
This paper proposes a high-accuracy image correction method using SIFT (Scale-Invariant Feature Transform) and POC (Phase-Only Correlation) for multi-projector display. The accurate correspondence between the projector and camera images is required to achieve seamless imagery in a multi-projector display. The conventional methods need to project and take special light patterns on a screen many times...
Automatic License Plate Recognition (LPR) is a technique involving image processing which is used to identify a vehicle by reading its license plate. In this paper we propose a system which is capable of extracting the license plate region from the vehicle's image taken from its rear end. The system consists of a digital camera, software to interface the camera with the software module and the software...
Steel industry requires high quality controls to ensure certain requirements of the final products. In on-line inspection applications for long steel products, a camera is usually placed in the top, in order to view a portion of the product while it passes under the sensor in a roll table. The high relation between the length of the steel product and the necessary resolution to carry out these quality...
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locations thanks to motion and scene models. While these priors are often partially used post-hoc to resolve matching consensus in algorithms like RANSAC, it was recently shown that fully integrating them in an `Active Matching'...
Since the introduction of Google Street View, a part of Google Maps, vehicles equipped with roof-mounted mobile cameras have methodically captured street-level images of entire cities. The worldwide Street View coverage spans over 10 countries in four different continents. This service is freely available to anyone with an internet connection. While this is seen as a valuable service, the images are...
Image coordinates measurement is one of key links in close-range photogrammetry, such as in camera calibration in control fields or in a surveying procedure of artificial targets pasted on surface of lacking texture object. An automatic measurement algorithm about image coordinates of circular artificial targets is researched in this paper. An automatic measurement strategy of artificial targets is...
High-accuracy image registration is an important fundamental task in many fields, such as image sensing, image/video processing, computer vision, etc. In order to evaluate accuracy of image registration algorithms, the reference images transformed with known parameters have to be used. Reference images taken by a camera may include human errors, while reference images generated by a computer may require...
When the man-machine communication system faces many users at the same time, it becomes a question that how to discover the spokesperson. In the complex environment, the noise may cause some difficulties for the robot to recognize the sound commands. To solve this question, we try to use the camera on the robot to find out the spokesperson. In this research, we propose a new image processing method...
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