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This paper proposes an offline approach to generating an optimal vacation routing plan to maximize the number of places to visit during the vacation duration. A traveling salesman problem algorithm results in a plan with the shortest path of travel given a number of stops. This solution is not suitable as a travel planner needs to take into account the operating hours and duration of stay at each...
Asian students with conservative behaviors tend to feel embarrassed and reluctant to ask questions in large classrooms. This paper proposed a mobile-compatible web-based question and answer application to address the aforementioned problem. This proposed web application is known as Quick Question (QQ). QQ is designed to allow students to post questions anonymously and rapidly during class hours. QQ...
In this paper, the effect of using multi-image and single-image super-resolution to reduce registration errors of low resolution images is evaluated. Two sets of low resolution images were captured using CMUCam4 to perform the evaluation. Moreover, a simplified method that make use of feature points extracted from resolution enhanced / upscaled images to improve the registration of low resolution...
It is known that face recognition rate is affected by the resolution of probe image. Therefore it is natural to expect improving the resolution via face hallucination would increase the recognition rate. However, it was concluded in the previous works that improvement in the visual quality does not necessarily lead to a better recognition rate, and performance of face hallucination for recognition...
This paper describes the pedagogy of how the 7-week course on computer fundamentals is introduced and taught to a class of 700 first year undergraduate students from the schools of business and computing. The computer fundamentals course itself covers theoretical topics such as the hardware and software of computers, information systems and programming basics as well as practical topics such as using...
Face images with visual variations can significantly influence the performance of a face recognition system. Euler Principal Component Analysis (e-PCA) uses a dissimilarity measure to increase the differences between subjects even though the face images are under the influence of visual variation. Previous experiments show that e-PCA is particularly effective in reconstructing occluded face images...
This paper proposes a novel human detection and validation methodology to help the visually impaired navigate in indoor environments. We used two-stage multiscale cascade object detectors with Haar features, to detect upper body parts at different poses. The resulting detections are validated by scaling them down to their annotated size and performing a multiscale window search of possible face poses...
This paper proposes multigoal implementations of the Dijkstra's shortest path algorithm and the boundary iterative-deepening depth-first search (BIDDFS). The algorithms were modified to allow for the search of more than one goal in a single expansion pass. The aim of this is to reduce the operational redundancy and hence the time taken for calculating multiple start-goal node pairs. Simulations using...
The aim of this paper is to investigate the effects of rainfall on image stitching by measuring the performance of the Harris corner detector, Scale-Invariant Feature Transform (SIFT) detector, and the Speeded Up Robust Feature (SURF) detector. A set of images were captured by using two cameras during light rain and during heavy rain. The number of detected features points was used as the performance...
This paper investigates the application of Levenberg-Marquardt (LM) based radial basis function (RBF) neural networks for face recognition. The contribution of this paper is two-fold. First, we propose the use of Levenberg-Marquardt (LM) and adaptive momentum LM algorithm to update the weights and network parameters (centers and width). The purpose of the proposal of the latter algorithm is to further...
This paper presents a curvelet-based illumination invariant feature extraction technique to solve the problem of varying illumination in face recognition. Multiband feature technique is employed to search the decomposed curvelet subbands for subbands which are insensitive to illumination variation. The two best performing subbands are then concatenated to form the Optimal Curvelet Subbands (OCS)....
This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance...
A problem that is commonly faced by large-scale population system is the high-dimensionality of data that needs to be processed at a given time. In this paper, a new face recognition training structure is proposed in which the large-scale population is split into smaller groups to be processed separately. To improve classification the proposed system uses global and local linear discriminant analysis...
Identifying faces under the influence of illumination and pose can be challenging as the presence of two variations on the same image can greatly change the appearance of a person. Thus, in this paper, we propose a multiview face recognition system that is able to solve illumination and pose face recognition problems. The proposed system uses multiband feature technique to extract features that are...
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