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A large amount of investment every year made on sports. The major portion of which placement on billboards position in an around the field. Sponsors need to verify their brand has the level of visibility they accept to justify advertising budget. The current method of manual annotation is extremely tedious. In this work automatic annotation of trademark and logo is proposed. Detection is performed...
Iris recognition is gaining more attention and the development of the field is increasing rapidly. This paper presents a complete iris recognition system. The iris features are obtained using Speeded Up Robust Features (SURF) after enhancing the image using Contrast Limited Adaptive Histogram Equalization (CLAHE). A novel matching algorithm based on applying fusion rules at different levels is proposed...
Face recognition is very useful in various fields like security, surveillance, health care, traffic guidance etc. Most of the face recognition systems do face recognition under controlled environment. The proposed system works well even in the uncontrolled environments. Here a new value is found for each pixel using a symmetric local graph structure. Histogram of the newly found pixels are determined...
Wireless Capsule Endoscopy (WCE) has become a great device in Gastrointestinal (GI) tract diagnosis, which can examine the entire GI tract, especially the small intestine without invasiveness and sedation. Bleeding in the digestive tract is a symptom of a disease rather than a disease itself. Hence the detection of bleeding is important in diagnosing many diseases. In this paper we proposes a novel...
Most of the approaches for indoor RGBD semantic labeling focus on using pixels or super pixels to train a classifier. In this paper, we implement a higher level segmentation using a hierarchy of super pixels to obtain a better segmentation for training our classifier. By focusing on meaningful segments that conform more directly to objects, regardless of size, we train a random forest of decision...
In this paper, a building facade detection algorithm is proposed. Proposed algorithm first detects the edges present in an image and connects them into line segments. Then a polar histogram mapping is used to find the vanishing points in the scene. An approach with low complexity is introduced to cluster the line segments according to their vanishing points. Line segments and their corresponding vanishing...
Segmentation of mathematical equations from document images is already a major research area for improved performance of OCR systems. Though chemical equations are also sharing similar spatial properties as that of non-chemical equations (for example, mathematical equations), efforts to segment those are still to be explored. This paper presents a novel method for segmenting and identifying chemical...
This paper introduces a high efficient local spatiotemporal descriptor, called gradient boundary histograms (GBH). The proposed GBH descriptor is built on simple spatio-temporal gradients, which are fast to compute. We demonstrate that it can better represent local structure and motion than other gradient-based descriptors, and significantly outperforms them on large realistic datasets. A comprehensive...
A robust hand-gesture recognition system based on a novel descriptor called Volumetric Spatiogram of Local Binary Patterns is presented, which allows a more natural input interface for simulating a mouse. The recognition stage based on Support Vector Machines triggers different mouse functions depending on the recognized gesture.
Recently, a lot of research on the use of big data is made, and this paper was aimed to perform classification experiments using CNN for the detected object collected from traffic detectors. In addition the experimental results were compared with the HOG descriptor that is commonly used in existing pedestrian and object classification and wavelet, texture and descriptor that are used in the road surface...
In order to obtain the portability of a book, and reduction of a storage place, it is popular to change a book into a digital book. It has changed into the text data for search of the contents, and data size compression. However, the special character is used for the illustration page or the cover. These characters may be unable to be read as text data by the conventional character recognition. In...
In an aging society, a service robot will come into our life. It is important for a robot to identify an object specified by human speech from several objects. Human may request an object for the robot by its name, and/or color name etc. Although there are some research about the method for the object identification based on its name, the object identification based on its color is not discussed enough...
There are a large number of colors to represent images (e.g. 256256256 = 16,777,216 colors in an RGB color space) on computers. Since there are too many colors to handle, a large number of colors are reduced by quantization in the image processing in general. When we perform a uniform color quantization, we often get colors which do not fit the real world. Therefore, typical colors should be learned...
We propose a novel contrast enhancement method for dark images using the value gap expansion force (VGEF) and the sorted histogram equalization. Based on the observation that the inter-pixel relationship is analogous to the electrostatic force, we define the pixel field spread around each pixel and the pixel mass at each pixel position. We compute the VGEF exerted to a pixel by multiplying the pixel...
JPEG images are most commonly used in a wide variety of applications. JPEG compression properties can be used for forgery detection in digital images. While performing an intended forgery, the image has to be recompressed. Therefore identifying the traces of recompression can be good clue for detecting manipulation. In this paper, a method to detect forgery in JPEG image is presented and an algorithm...
Recently, the median filtering (MF) detector has attracted much interest as a forensic tool to identify image editing process. In this paper, we propose a novel method for the blind detection of MF in digital images based on the histogram features. As histograms are fundamental resources and can present most image information, we propose to directly utilize them by taking several highest histogram...
Non-Perspective Three Point Pose (NP3P) problem is a generalization of the classical three point pose problem for the case of multi-camera that have no common projection center. In this paper, we develop a simple, minimal algebraic solution to the NP3P problem where the projection rays of three points may have arbitrary but known directions. This problem is known to have a maximum of eight solutions...
A novel stroke-based method to localize text in unconstrained natural scene images is proposed. Firstly, in order to improve the edge detection in tough situations where the texts are partially occluded or noisy, we use stroke width histogram as guidance to generate a series of superpixels. Secondly, we present a novel way of using distance transform and sobel operator to extract character skeleton...
Basic and compound pose invariant geometric features are explored to conduct pre-alignment, down sampling, and outlier removal to improve the speed and accuracy of Iterative Closest Point (ICP) registration on dense 3D laser scanning data for metallic part modeling. Rectification of planar surfaces, which are segmented from point normals and matched on similarity of clustered viewpoint feature histogram...
Automatic personal identi����cation has become an important issue in several applications, such as physical buildings and information systems. Nowadays, biometric techniques are an important and effective solution for automatic personal identi����cation. One of the most popular biometric systems is based on the hand due to its ease of use. Hand has several modalities to be extracted, among them, Finger-Knuckle-Print...
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