The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we propose a noise removal approach that significantly improves the performance of sophisticated shape matching techniques. Existing shape matching techniques focus on complex algorithms without giving much consideration to the noise removing preprocessing techniques. These preprocessing techniques can reasonably improve the accuracy where the shapes are affected by cracks. We present...
In this paper, a semi autonomous robot design serves the purpose of automatic loading and unloading of blocks using Image processing and machine learning. The automation part includes automatically detecting the distance and loading/unloading of the load object. The robot undergoes semi unsupervised learning. Distance, is measured using single camera based on pixel area measurement. A G.U.I is present...
In this paper, indoor environment classification and interpretation algorithm is proposed. Proposed algorithm needs low computation power and low payload thus enabling micro air vehicle (MAV) to quickly react and navigate. Here indoor environment is classified into corridor, staircase, and open space by using image edge gist descriptors and a neural network classifier. Use of some predetermined thresholds...
The large number of blind and visually impaired individuals in the society has motivated research groups to search for smart solutions that use vision-based technologies to improve their quality of life. This paper describes an Android-based application for object recognition developed to help the blind understand their environment better. This application is based on extracting local features of...
Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide annotations with different mark-ups and in some cases the are problems related to the accuracy of the fiducial points. The aforementioned issues as well...
In this paper, we propose the motion dense sampling (MDS) for video classification, which detects very informative interest points from video frames. MDS has two advantages compared to other existing methods. The first advantage is that MDS detects only interest points which belong to foreground regions of all regions of a video frame. Also it can detect the constant number of points even when the...
This paper proposes a novel technique for 3-D recovery of a non-rigid object, such as a human in motion, from a single camera view. To achieve the 3-D recovery, the proposed technique performs segmentation of an object under deformation into respective parts which are all regarded as rigid objects. For high accuracy segmentation, multi-stage learning and local subspace affinity are employed for the...
Manifold clustering is often used to partition a multiple manifold dataset prior to the application of manifold learning. Thus manifold clustering can be seen as a preprocessing step for eliminating singularities in a dataset before doing dimension reduction. In this paper, we propose an algorithm for resolving singularities prior to dimension reduction. We achieve singularity resolution using algebraic...
Because of strong radial distortion, fisheye images have to be rectified before use in most computer vision algorithms. We investigate three ways to rectify fisheye images: the rectangular local perspective projection, local perspective projection bounded by longitude and latitude lines, and cylindrical projection. The traditional integral image method doesn't work for local projections, because they...
The amber gemstones classification system is proposed and described in this paper. The amber data used in experiments are collected by amber art craft industry experts and divided manually into 30 classes. The presented investigations were care out in order to find out most accurate and fast classifier for online amber sorting application. QDA, KNN, RBF, and decision tree classifiers were tested....
Image and pattern recognition have become a significant task in recent years when most mobile communication devices have integrated cameras. The bag-of-words (BOW) approach is commonly used in information retrieval algorithms, and although originally developed for text, it has been adapted also for visual search. In spite of the similarity, there are different challenges - less effective weighting...
Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results...
Human action recognition is the process of labeling videos contain human motion with action classes. The run time complexity is one of the most important challenges in action recognition. In this paper, we address this problem using video abstraction techniques including key-frame extraction and video skimming. At first we extract key-frames and then skim the video clip by concatenating excerpts around...
Scene decomposition into its illuminant, shading, and reflectance intrinsic images is an essential step for scene understanding. Collecting intrinsic image groundtruth data is a laborious task. The assumptions on which the ground-truth procedures are based limit their application to simple scenes with a single object taken in the absence of indirect lighting and interreflections. We investigate synthetic...
We are not aware of any previous systematic investigation of how well human examiners perform at identity verification using the same type of images as acquired for automated iris recognition. This paper presents results of an experiment in which examiners consider a pair of iris images to decide if they are either (a) two images of the same eye of the same person, or (b) images of two different eyes,...
Eye tracking is an active multidisciplinary research field, which has shown great progress in the last decades. Eye tracking is the process of monitoring eye movements in order to determine the point of gaze or to analyze motion patterns of an eye relative to the head or the environment. This process provides essential information to tasks such as face detection, usability testing, biometric identification,...
We propose a human action recognition solution from the human's skeletal information. The angular representation of the skeleton shows its invariance to the scale of the actor and the orientation to the camera, while it maintains the correlation among different body parts. A modified Dynamic Time Warping (DTW) as a template matching solution is applied to do the action classification task. We collect...
Sample Image Matching is to decide if a queried image is belongs to the database or not. In this paper, we focus on real-time image matching, which is critical in many real world applications. Although traditional image retrieval methods can be directly utilized for image matching, they usually suffer the high computational cost problem and thus is not applicable here. To resolve this problem, we...
Census transform is a non-parametric local transform. Its weakness is that the results relied on the center pixel too much. This paper proposes a modified Census transform based on the neighborhood information for stereo matching. By improving the classic Census transform, the new technique utilizes more bits to represent the differences between the pixel and its neighborhood information. The result...
UAV has many advantages such as flexibility and security, and is becoming an important supplementary method of remote sensing. However, the instability of UAV platforms usually results in poor image quality, such as big rotation angle, leading to difficulty in creating image mosaics with conventional methods. The SIFT algorithm is nowadays widely applied in image mosaics, but it also has many disadvantages...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.