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检索条件"任意字段=International Conference on Signal Image Technology and Internet Based Systems"

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A Fast and Robust Fingertips Tracking Algorithm for Vision-based Multi-touch Interaction

A Fast and Robust Fingertips Tracking Algorithm for Vision-B...

引用

10th IEEE international conference on Control and Automation (IEEE ICCA)

作者： Xie, Qunqun Liang, Guoyuan Tang, Cheng Wu, Xinyu Chinese Acad Sci Shenzhen Inst Adv Technol Guangdong Prov Key Lab Robot & Intelligent Syst Beijing 100864 Peoples R China

ISBN: (纸本)9781467347082;9781467347075

Finger touch is the most natural way for human interaction with the external world. In the past five years, the great success of multi-touch trackpad on portable devices implies the big potential of multi-touch technology to be applied in vision-based human-computer interaction (HCI) systems. The implementation of multi-touch technology highly depends on accurate and fast fingertip tracking. In this paper we present a fast and robust algorithm for tracking fingertip positions in a stereovision-based 3D multi-touch interaction system. Our method first detects the hand region by a two-step strategy based on skin color filter as well as depth images. Then a geometry model is built to locate the fingertips. The accuracy and effectiveness of the fingertip tracking algorithm is examined over several video sequences with complicated backgrounds. Experimental results verify that our algorithm can reliably and accurately track the movements of fingertips in real time. The effectiveness of the fingertip tracking algorithm also reveals the capability allowing user to interact with computers through their finger movements in 3D space over a virtual thin-film-like touch surface which is set up at a certain distance away from the screen.

关键词： human computer interaction image colour analysis image sequences object detection object tracking skin stereo image processing video signal processing

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On Centered and Compact signal and image Derivatives for Feature Extraction

On Centered and Compact Signal and Image Derivatives for Fea...

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9th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Delibasis, Konstantinos K. Kechriniotis, Aristides Maglogiannis, Ilias Univ Cent Greece Dept Comp Sci & Biomed Informat Lamia Greece TEI Lamia Dept Elect Lamia Greece Univ Piraeus Dept Digital Syst Piraeus Greece

ISBN: (纸本)9783642411410;9783642411427

A great number of Artificial Intelligence applications are based on features extracted from signals or images. Feature extraction often requires differentiation of discrete signals and/or images in one or more dimensions. In this work we provide two Theorems for the construction of finite length (finite impulse response -FIR) masks for signal and image differentiation of any order, using central differences of any required length. Moreover, we present a very efficient algorithm for implementing the compact (implicit) differentiation of discrete signals and images, as infinite impulse response (IIR) filters. The differentiator operators are assessed in terms of their spectral properties, as well as in terms of the performance of corner detection in gray scale images, achieving higher sensitivity than standard operators. These features are considered very important for computer vision systems. The computational complexity for the centered and the explicit derivatives is also provided.

关键词： signal analysis computer vision image feature extraction signal discrete derivatives centered image derivatives compact (implicit) image derivatives

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internet-Vision based Vehicle Model Query System Using Eigenfaces and Pyramid of Histogram of Oriented Gradients

Internet-Vision Based Vehicle Model Query System Using Eigen...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Thitiphat Anakavej Aram Kawewong Karn Patanukhom Department of Computer Engineering Chiang Mai University Chiang Mai Thailand

This paper presents a new framework and feature set for vehicle model query system. By giving model names or manufacturer names as keywords, the desired vehicle images can be queried from target videos or vehicle image databases using internet-vision approach. In this framework, sample images are automatically retrieved from internet via search engine or car related website. Logos and frontal masks are segmented and are used for recognizing the manufacturer name and model of the vehicles, respectively. Eigenfaces and Pyramid Histogram of Oriented Gradients (PHOG) are proposed as features for recognition process. The experiments show that the proposed method can provide recognition rate of 98.2 % for manufacturer logo recognition process, and 94.00% for vehicle model recognition process. The performance of the entire framework of our proposed query system is also evaluated via precision and recall which are obtained as 87.67% and 80.00%, respectively.

关键词： Vehicles Licenses Training Feature extraction image segmentation image edge detection

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A FCM and SURF based Algorithm for Segmentation of Multispectral Face images

A FCM and SURF Based Algorithm for Segmentation of Multispec...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Ahmed Ben Saïd Sebti Foufou Mongi Abidi CSE Dept. Qatar University Doha Qatar LE2i Lab University of Burgundy Dijon France IRIS Lab University of Tennessee Knoxville Tennessee USA

In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from IRIS Lab data base, which consists of face images taken along the visible spectrum, have been used to illustrate the performances of the proposed algorithm and to compare its outputs with other algorithms. Results demonstrate that the proposed method outperforms other clustering methods in segmenting color images as well as multispectral images.

关键词： image segmentation Clustering algorithms Indexes Feature extraction Face Color Principal component analysis

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EEG signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

EEG Signal Processing and Classification for the Novel Tacti...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Shota Kono Daiki Aminaka Shoji Makino Tomasz M. Rutkowski Life Science Center of TARA University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781479932122

The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a force-feedback joystick can serve as a platform for a brain-computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful online interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.

关键词： Electroencephalography Accuracy Electrodes Time factors Force Visualization Protocols

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SNAPPER: Fashion Coordinate image Retrieval System

SNAPPER: Fashion Coordinate Image Retrieval System

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Shinya Miura Toshihiko Yamasaki Kiyoharu Aizawa The University of Tokyo Bunkyo-ku Tokyo Japan

ISBN: (纸本)9781479932122

Fashion is one of the most important factors in our lives. A lot of people enjoy their fashion. On the other hand, they are not confident about their fashion coordination. Especially, it is a very worrisome problem to purchase a new fashion item that suits to their clothing. In this paper, we propose an image-retrieval-based system for supporting a person's fashion coordination and purchase of new fashion items. This system provides users an efficient way to know and purchase the fashion items which suit to those in their closets. The user uploads the image of his or her clothing and specifies the part which he or she puts it on. Then, our system retrieves similar items and recommends fashion coordinate from our fashion coordinate database that has been collected from fashion websites.

关键词： Clothing image color analysis Histograms Feature extraction Accuracy image segmentation Databases

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Achromatic Induction: A Variational Interpretation of Rudd-Zemach's Edge Integration Model

Achromatic Induction: A Variational Interpretation of Rudd-Z...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Edoardo Provenzi Department of Signal and Image Processing CNRS Paris France

Induction is the term used to describe the fact that visual perception depends not only on the absolute luminance of a patch in a visual scene, but also on the luminance of the surrounding patches. Induction can be achromatic or chromatic, depending on the presence of only shades of gray, or color, respectively. Achromatic induction can be measured through quite simple psychophysical matching experiments, whose data are well fitted by the so-called edge integration models. In this paper we will examine Rudd-Zemach's edge integration model and we will show that it can be interpreted in terms of a variational framework that shares many features with a phenomenologically-based visual perception theory recently proposed. The relevance of this result is twofold: firstly, it allows interpreting induction in terms of local contrast enhancement, secondly, it provides a validation of the variational framework in terms of quantitative measures, opening the possibility to determine important parameters of this framework.

关键词： image color analysis Mathematical model Brightness Equations Observers Visualization Dispersion

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Super-resolution with Adaptive Pixel Weighting Scheme and Its Application to Super-resolved Free-Viewpoint image Synthesis

Super-resolution with Adaptive Pixel Weighting Scheme and It...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Koichi Hamada Ryo Nakashima Keita Takahashi Takeshi Naemura Graduate School of Information Science and Technology The University of Tokyo Japan Graduate School of Engineering Nagoya University Japan

ISBN: (纸本)9781479932122

The objective of reconstruction-based super-resolution is to construct a high-resolution image from a sequence of low-resolution images. The super-resolution processing requires precise registration of low-resolution images and the registration error degrades the resulting high-resolution image. In order to handle inaccuracies in registration, the robust super-resolution methods have been proposed. We propose an adaptive pixel weighting method which uses pixel weighting variables for the input pixels. The proposed method is the extension of the conventional pixel selection type robust super-resolution. We define the cost function which includes the regularization term for the weighting variables and the cost function is minimized against the weighting variables and the resulting HR image simultaneously. We confirmed the effectiveness of the proposed method with super-resolved free-viewpoint image synthesis.

关键词： image reconstruction image resolution Cameras Robustness Minimization Cost function

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Speckle Noise Reduction Using Fourth Order Complex Diffusion based Homomorphic Filter

引用

2nd international conference on Advances in Computing and Information technology (ACITY 2012)

作者： Nair, Jyothisha J. Govindan, V. K. Natl Inst Technol Calicut Dept Comp Sci & Engn Calicut 673601 Kerala India

ISBN: (纸本)9783642315510

Filtering out speckle noise is essential in many imaging applications. Speckle noise creates a grainy appearance that leads to the masking of diagnostically significant image features and consequent reduction in the accuracy of segmentation and pattern recognition algorithms. For low contrast images, speckle noise is multiplicative in nature. The approach suggested in this paper makes use of fourth order complex diffusion technique to perform homomorphic filtering for speckle noise reduction. Both quantitative and qualitative evaluation is carried out for different noise variances and found that the proposed approach out performs the existing methods in terms of root means square error (RMSE) value and peak signal to noise ratio (PSNR).

关键词： signal to noise ratio

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Enhancement of two spatial steganography algorithms by using a chaotic system: Comparative analysis

Enhancement of two spatial steganography algorithms by using...

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2013 8th international conference for internet technology and Secured Transactions, ICITST 2013

作者： Battikh, D. El Assad, S. Bakhache, B. Deforges, O. Khalil, M. Institut d'Electronique et de Télécommunications de Rennes IETR UMR CNRS 6164 INSA/Rennes Rennes France IETR UMR CNRS 6164 Image Team -site of Nantes Nantes France LASTRE: Laboratoire des Systemes Electroniques Telecommunications et Reseaux Tripoli Lebanon Lebanese University Tripoli Lebanon

ISBN: (纸本)9781908320209

In this paper we propose a chaos-based enhancement of two spatial steganographic algorithms the AE-LSB and the EA-LSBMR and we study their performances. The first algorithm is an adaptive LSB (Least Significant Bit) steganographic method using pixel value differencing that provides a large embedding capacity and imperceptible stego images. The second method is an edge adaptive scheme which can select the embedding region according to the size of secret message and the difference between two adjacent pixels in the cover image. The two methods suffer from low security against attacks to recover secret data. To overcome this weakness, we propose an enhancement of the message security of these methods. The enhancement consists by using an efficient chaotic system to choose in a pseudo-chaotic manner, the pixels in the cover image where the bits of the secret message will be embedded. In this way, the inserted message becomes secure against message recovery attacks and spread over the whole image in a uniform manner. Experiments show that the security of the algorithms is increased. © 2013 Infonomics Society.

关键词： Chaotic systems

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