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An image-based visual servoing control scheme is proposed for regulating the position and orientation of the nonholonomic mobile robot simultaneously based on an imprecisely calibrated camera. The proposed method only requires measurement information from image and utilizes the elements of the homography matrix between current and goal images to establish an error model, which is then used to develop...
Face recognition based on sparse representation is investigated in this paper. Dimensionality reduction is the process of projecting original image data into a low dimensional space, and usually be conducted before dictionary learning. However dimensionality reduction may lose information that is important to the face recognition task. Although the accuracy rate of face recognition varies with different...
A safe real-time imitation framework for humanoid robots to human beings action is proposed. Postures of an actor are divided into three categories: robust postures, normal postures and dangerous postures. To deal with the robust postures, direct mapping from skeleton data gathered by 3D cameras to each angle of robot joint motors is taken because the postures are robust enough for imitation in high...
Vector quantization based methods are important tools for large scale search. They perform lossy compression on the dataset, then the distance between an uncompressed vector and compressed dataset can be efficiently computed via asymmetric distance computation (ADC). We show that for large datasets, ADC conducts excessive computations on vectors sharing the same prefix. To this end, we propose encoding...
Expressions are commonly presented through the motions of different facial regions, thus the selection of discriminative features from prominent regions is crucial to the expression recognition. This paper proposes a novel method for facial expression recognition by exploring the most salient regions for each expression. The main contribution of this paper is using the complete feature set of expressions...
In terms of visual feedback, the process of visual servoing could be characterized by the changes of the visual features. The concept of feature completeness for visual servoing is introduced. If there exists a feature set that varies from the initial state to the target state while the prescribed task is finished, then the feature set is complete for this task. With such a feature set, the visual...
Respiratory sounds contain crucial information concerning the physiologies and pathologies of pulmonary system. Computerized respiratory sound analysis can provide an objective evaluation of the respiratory function. Usually, the real environments of respiratory sound measurement are noisy. The less clarity of respiratory sounds could cause the utilization of computerized respiratory sound analysis...
SoLoMo services are mobile application services developed as the result of the progress in wireless networks and the popularization of mobile devices. Since SoLoMo services have different integrated types of IT services, users might have different needs and expectations for these services. Therefore, analysis of the priority of evaluation factors for users is extremely important in terms of the future...
This study examines the flow-shop scheduling problem with imprecise job processing times, which could be occurred in some real-world applications. The uncertain situation is that the precise values of job processing time are frequently unknown in advance. We could then use the fuzzy numbers to represent the imprecise job processing values. Triangular fuzzy numbers and a distance ranking method are...
In a wireless sensor network (WSN), usually there will be a sink to gather data and many sensor nodes are responsible for monitoring data, so users can know well about the situation in that field. In this paper, we proposed a Grid-Based Geocasting Protocol for WSNs called GB-FERMA. Based on grid structure, we utilize the theorem of Fermat point in order to find an optimal junction point branching...
This work develops a new density-based clustering scheme, TSS-DBSCAN, which uses DBSCAN and a new method of applying two-phase screening, to reduce the extent of the meaningless expansion of clustering to improve data clustering for numerous related applications. Experimental results demonstrate that the proposed new TSS-DBSCAN scheme has very high noise filtering rate and clustering accuracy (both...
The key function of recommendation systems is to analyze social network data and identify similar users. In recent years, multi-criteria algorithms called skyline queries have been used in conjunction with neural networks to search for similar users. However, many skyline query methods are slow and cumbersome, and generate user groups that are not similar enough to the target user. To solve these...
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