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In this paper, we propose an efficient approach for real-time eye-gaze detection from images acquired from a web camera. The measured data is sufficient to describe the eye movement, because the web camera is stationary with respect to the head. First, the image is binarized with a dynamic threshold. Then geometry features of the eye image are extracted from binary image. Next using estimation method...
This paper presents a fast and reliable approach for detecting 3D line segment from 3D point clouds. The main idea is to discover weak matching of line segments by re-projecting 3D point to 2D image plane and infer 3D line segment by spatial constraints. On the basis of 2D Line Segment Detector (LSD) and multi-view stereo, the proposed algorithm firstly re-projects the spatial point clouds into planar...
Biometrics has become more and more important in security applications. In comparison with many other biometrie features, iris recognition has very high recognition accuracy. Successful iris recognition matching depends on how similar the stored template in database is compared with the introduced template. The main objective of this paper is to introduce a high performance scheme for iris recognition...
We propose an approach to conduct video scene detection especially for travel videos captured by amateur photographers in journeys. The correlation between a travel video and its corresponding text-based travel schedule is discovered. Because scene boundaries are clearly defined in schedules, we segment videos into scenes by checking the discovered cross-media correlation. To make these two modalities...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
Shopping carts have traditionally been used as a tool provided to the customers in retail stores to carry items from the shelf to checkout stations. These days shopping carts can also be used as a security checkpoint to prevent store losses. All the items collected in a shopping cart are supposed to be unloaded at the checkout station to be scanned and included in the bill. Any items left in the cart...
The conventional wide-baseline image matching solely relies on identifying the same local features of two wide-baseline images under matching to establish pixel-to-pixel correspondence based on the nearest neighbor matching criterion. However, a large number of mismatches would be incurred especially for those images containing complicated scene. In order to effectively reduce mismatches, we propose...
An automatic recognition method for steel billet images with different orientations is proposed in this paper. A crucial part of this method is to segment the image firstly, and then use the projection features of the segmented image to distinguish the different orientations of the steel billet in production line. After the string is segmented into individual characters, the segmented characters can...
Exact segmentation of fingerprint image is very important for fingerprint singular points and minutiae features extraction. In this paper, a method for fingerprint image segmentation is proposed based on Support Vector Machine (SVM). The fingerprint image is broken into 16*16 prospects blocks and background blocks. The block average gray, block gray variance, block contrast and the largest peak of...
Diabetic retinopathy is the commonest cause of blindness. Diabetes causes cataracts, Glaucoma and diabetic retinopathy. The Optic Disc is the exit point of retinal nerve fibers from the eye and the entrance and exit point for retinal blood vessels. The detection of Optic Disc is very essential to locate the various anatomical features in the retinal images. We describe a new filtering approach in...
This paper presents a novel solution to the autonomy of a Portable Robotic Device (PRD) for the visually impaired. The proposed method meets the PRD's requirement of providing 3D navigational information with a small-sized device. The proposed approach is to employ a 3D imaging sensor-the SwissRanger SR4000-for both pose estimation and perception. The SR4000 produces both intensity and range images...
The computer aided rejoining is an advanced technology for the arrangement of the bones or tortoise shells with inscriptions. In this paper, we have studied the algorithms for contour extracting and tracking from these shell images and algorithms for extracting the feature vectors of the contour segments. We established a database for the oracle shell images, and developed a computer aided system...
The Fingerprint is widely used biometric to identify and authenticate a person in the society. In this paper we propose Fingerprint Recognition using Inter Ridge Variation (FRIRV) algorithm. The finger print is segmented into 8*8blocks and variance of each block is determined. The threshold value is fixed to remove minimum variance blocks to get Area of Interest (AOI). Discrete Cosine Transform (DCT)...
This paper proposes a Chinese coin recognition method based on unwrapped image and rotation invariant template matching. At first unwrap the reference coin and the specimen coin, which makes a rotation of the coins convert to a translation of the profile. Then lengthened the unwrapped specimen coin image and the unwrapped reference coin image always lies in the unwrapped specimen if they are the same...
In this paper we address the problem of hand-drawn symbol spotting in document images. We use stochastic graphical models (SGMs) to represent the structure and variations of hand-drawn symbols. We use a framework which first carries out segmentation and graph formation of the input image, followed by sub-graph matching for spotting of hand-drawn symbols. We used SGMs in place of sub-graphs in a semi-definite...
We present a method for off-line reading of cursive handwriting, which derives from modelling handwriting as a complex movement. The method includes a step for recovering the writing order from static images of handwriting, a segmentation algorithm that decomposes the “unfolded” ink into strokes, an ink matching step to compare the ink of the unknown handwriting with those of a set of reference words,...
The segmentation of fingerprint image is to extract the fingerprint region from the image. The traditional methods usually divide the fingerprint image into small blocks and then segment them into the foreground blocks and the background ones ignoring the relationship of the neighbors. In this paper, a novel segmentation approach is proposed based on the region merging with full benefit of the local...
This paper presents an analysis of the parameters used to construct 2D log-Gabor filters to encode iris patterns. This filter is a band-pass complex filter composed by four parameters that are used to extract information direct in the 2D domain. An iris recognition system, composed by segmentation, normalization, encoding and matching is also described. The segmentation module combines the Pulling...
Conventional approaches to image annotation tackle the problem based on the low-level visual information. Considering the importance of the information on the constrained interaction among the objects in a real world scene, contextual information has been utilized to recognize scene and object categories. In this paper, we propose a Bayesian approach to region-based image annotation, which integrates...
We propose an image stitching method which can compose the images with similar overlapped regions seamlessly. Traditional minimal error boundary (MEB) based method can't produce correct stitching result when the input images exist photometric inconsistency. To cope with the problem, we adopt the weighted sum of gradient and curvature as the robust feature, which represent the primary content of the...
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