Advanced Engineering Informatics: Volume 26 Issue 1, January, 2012
Publisher: Elsevier Science Publishers B. V.
This paper presents a virtual try-on system based on augmented reality for design personalization of facial accessory products. The system offers several novel functions that support real-time evaluation and modification of eyeglasses frame. 3D glasses model is embedded within video stream of the person who is wearing the glasses. Machine ...
Machining learning, Parametric design, Personalization, Augmented reality
ACM Transactions on Intelligent Systems and Technology (TIST): Volume 2 Issue 3, April 2011
Citation Count: 1
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Behavioral finance is a relatively new and developing research field which adopts cognitive psychology and emotional bias to explain the inefficient market phenomenon and some irrational trading decisions. Unlike the experts in this field who tried to reason the price anomaly and applied empirical evidence in many different financial markets, ...
Behavioral finance, classification, machine learning
MMM'11: Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
In a network of cameras, people localization is an important issue. Traditional methods utilize camera calibration and combine results of background subtraction in different views to locate people in the three dimensional space. Previous methods usually solve the localization problem iteratively based on background subtraction results, and high-level image information ...
multi-camera surveillance, human localization, video surveillance, probabilistic occupancy map
MMM'08: Proceedings of the 14th international conference on Advances in multimedia modeling
In this paper, we present an adaptive foreground object extraction algorithm for real-time video surveillance, in conjunction with a human detection technique applied in the extracted foreground regions by using AdaBoost learning algorithm and Histograms of Oriented Gradient (HOG) descriptors. Furthermore, a RANSAC-based temporal tracking algorithm is also applied to ...
RANSAC, human detection, lighting variation, foreground extraction, surveillance, background subtraction
Multimedia Systems: Volume 12 Issue 1, August 2006
Publisher: Springer-Verlag New York, Inc.
Boost learning algorithm, such as AdaBoost, has been widely used in a variety of applications in multimedia and computer vision. Relevance feedback-based image retrieval has been formulated as a classification problem with a small number of training samples. Several machine learning techniques have been applied to this problem recently. In ...
Image retrieval, AdaBoost, Paired feature learning, Relevance feedback
CIVR'05: Proceedings of the 4th international conference on Image and Video Retrieval
In this paper, we propose a novel paired feature learning system for relevance feedback based image retrieval. To facilitate density estimation in our feature learning system, we employ an ID3-like balance tree quantization method to preserve most discriminative information. In addition, we map all training samples in the relevance feedback ...
CVPRW '04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Publisher: IEEE Computer Society
Detecting human face regions in color video is normally required for further processing in many practical applications. In this paper, we propose a learning-based algorithm that determines the most discriminative pairs of Haar wavelet coefficients of color images for face detection. To select the most discriminative features from the vast ...
MMM '04: Proceedings of the 10th International Multimedia Modelling Conference
Publisher: IEEE Computer Society
In this paper, we propose a novel and fast facedetection algorithm for detecting face in color videosequences. This algorithm can be integrated into a real-timesurveillance or a video retrieval or indexing system.We focus on both speed and accuracy in the design of thealgorithm. A set of multi-resolution Haar waveletcoefficients pairs ...