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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1672 条记录，以下是1191-1200 订阅

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vision Based Classification of Fresh Fruits Using Fuzzy Logic 3

Vision Based Classification of Fresh Fruits Using Fuzzy Logi...

引用

3rd international conference on Computing for Sustainable Global Development (INDIACom)

作者： Khan, Asif Li, Jian-Ping Shaikh, Riaz Ahmed Khan, Imran UESTC Sch Comp Sci & Engn Chengdu 611731 Peoples R China BVICAM New Delhi India

ISBN: (纸本)9789380544199

The paper presents a computer vision based system for automatic grading and sorting of agricultural products. The application of machine vision based system, aimed to replace manual based technique for grading and sorting of fruit. The manual examination makes issues in maintaining consistency in grading and sorting. In this research work, a method for sorting and grading of agricultural products like fruits has been proposed. The proposed system starts with catching the fruit's picture utilizing a digital camera. The acquired picture is then processed by using image processing, sorted and grading using methods of fuzzy logic. The classification of fruit is depending upon the object size and shape. Similar shape-size fruit misclassification can reduce by utilizing extra image features, for example, texture and colour. The results obtained are very promising.

关键词： computer vision Classification Fuzzy Logic

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Selfie search: image retrieval and face recognition in iOS 3

Selfie search: Image retrieval and face recognition in iOS

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3rd international Symposium on computer vision and the Internet, visionNet 2016

作者： Marques, Oge Carson, Joseph Florida Atlantic University 777 Glades Rd Boca RatonFL United States

ISBN: (纸本)9781450343015

This paper describes the design and development of an iOS app for selfie search, which combines face detection and recognition capabilities with content-based image retrieval techniques. The app works offline, since all processing takes place entirely on the device. It was implemented in Objective-C and it leverages functionality from Apple's Core image API for image processing tasks and CouchbaseLite for the database layer. For face recognition, the app employs local binary patterns - encoded as spatially enhanced histograms, with weight maps that indicate preferred areas within the cropped image containing the face. The source code is available on GitHub. © 2016 ACM.

关键词： Face recognition

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A Prototype 1024 Electrode Embedded computer based Epiretinal Prosthesis System 3

A Prototype 1024 Electrode Embedded Computer based Epiretina...

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3rd international conference on Signal processing and Integrated Networks (SPIN)

作者： Sharmili, N. Rao, V. Bhujanga Seetharamaiah, P. Swapna, N. VIIT Dept Comp Sci & Eng Visakhapatnam Andhra Pradesh India DRDO New Delhi India Andhra Univ Dept Comp Sci & Syst Engg Visakhapatnam Andhra Pradesh India RIET Dept Comp Sci & Engg Rajahmundry India

ISBN: (纸本)9781467391979

Epiretinal prosthesis is a biomedical implant technology currently being developed around the world in hopes of restoring useful vision for patients suffering from retinal degenerative diseases such as Age-related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP). Epiretinal Prosthesis System (EPS) consists of four parts that includes Body Worn image Processor (BWIP), Retinal Implantable Receiver Stimulator (RIRS), wireless telemetry and electrode array. images are captured by BWIP's camera and encoded into a 1 Mbps bit stream by BWIP. The bit stream is modulated on 8.195 MHz carrier and transmitted serially to RIRS through wireless telemetry. RIRS converts the bit stream into electrical pulses and drives 1024 electrode array to stimulate the survival parts of retina electrically with visual cues for understanding the video picture/image. This paper presents the design of flexible high resolution 1024-electrode embedded computer based EPS using embedded computer based efficient control algorithms for better visual prediction. Finally, the integrity of the EPS has been verified visually through video display on LCD/LED array. The experimental results of EPS are enumerated for the object of human face using 1024-electrode/pixel LED array.

关键词： ASK Modulation Body Worn image Processor Electrical Stimulation Electrode Driver H Bridge Retinal Prosthesis Retinal Implantable Receiver Stimulator

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A ROBUST EYE GAZE ESTIMATION USING GEOMETRIC EYE FEATURES 3

A ROBUST EYE GAZE ESTIMATION USING GEOMETRIC EYE FEATURES

引用

3rd international conference on Digital Information processing, Data Mining, and Wireless Communications (DIPDMWC)

作者： Jariwala, Krupa Dalal, Upena Vincent, Amal SVNIT Comp Engn Surat India SVNIT Elect Engn Surat India

ISBN: (纸本)9781467393799

Gaze estimation is the process of determining the point of gaze in the space, or the visual axis of an eye. It plays an important role in representing human attention;therefore, it can be most appropriately used in Human computer Interaction as a means of an advance computer input. Here, the focus is to develop a gaze estimation method for Human computer Interaction using an ordinary webcam mounted on the top of the computer screen without any additional or specialized hardware. The eye center coordinates are obtained with the geometrical eye model and edge gradients. To improve the reliability, the estimates from two eye centers are combined to reduce the noise and improve the accuracy. Facial land marking is done to identify a precise reference point on the face between the nose. The ellipse fitting and RANSAC method is used to estimate the gaze coordinates and to reject the outliers. This approach can estimate the gaze coordinates with high degree of accuracy even when significant numbers of outliers are present in the data set. Several refinements such as feedback and masking, queuing and averaging are proposed to make the system more stable and useful practically. The results show that the proposed method can be successfully applied to commercial gaze tracking systems using ordinary webcams.

关键词： eye tracking computer vision image processing

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Segmentation on Moving Shadow Detection and Removal by Symlet Transform for Vehicle Detection 3

Segmentation on Moving Shadow Detection and Removal by Symle...

引用

3rd international conference on Computing for Sustainable Global Development (INDIACom)

作者： Kumar, Cheruku Sandesh Roy, Ratnadeep Kumar, Archek Praveen Yadav, Ashwani Kumar Gupta, Mayank Amity Univ Rajasthan Jaipur Rajasthan India

ISBN: (纸本)9789380544199

Shadow detection and Shadow removal is major issue in computer vision group. Real research in shadow detection and removal for moving objects includes verification of moving shadow points which are many times mis-classified as moving object points in a live video sequences. A large number of shadow detection and shadow removal algorithms are introduced for images but only a few researches has been done for moving objects. A novel method for shadow detection and removal is introduced using discrete wavelet transform by symlet wavelet transform. The multi-resolution property of DWT decomposes an image into four sub bands with no loss of the spatial information. Standard deviation divide by mean by symlet transform technique is proposed. The threshold point is self-executed. The proposed method is efficient and depends on symlet wavelet coefficients.

关键词： Digital image processing Foreground Shadow Segmentation Umbra Penumbra Cast Shadow Self Shadow Morphological Operation

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Blind image deconvolution based on robust stable edge prediction 3

Blind image deconvolution based on robust stable edge predic...

引用

3rd IEEE EMBS international conference on Biomedical and Health Informatics, BHI 2016

作者： Li, Wei Cui, Xuenan Nguyen, Van Huan Do, Trung Dung Park, Iju Kim, Hakil Laboratory of Computer Vision School of Information and Communication Eng. Inha University 22212 Korea Republic of

ISBN: (纸本)9781509024551

This paper proposes a robust blind deconvolution method for removing a uniform blur from microscopy images. For the estimation of the kernel - point spread function (PSF) - the stable edge is estimated using a fuzzy edge prediction method. Based on the estimated stable edges, optimizing a blurring objective function leads to a closed form for the estimation of a kernel and latent image. In comparison with existing deconvolution methods based on iterative optimization, the proposed method with a closed-form solution produces a significant decrease in processing time, which is an important barrier in applying deconvolution methods to real-world applications. Experimental results demonstrate the robustness and high efficiency of the proposed method for diverse microscopy images. © 2016 IEEE.

关键词： Optical transfer function

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Depth-Based Hand Pose Segmentation with Hough Random Forest 3

Depth-Based Hand Pose Segmentation with Hough Random Forest

引用

3rd international conference on Green Technology and Sustainable Development, GTSD 2016

作者： Tsai, Wei-Jiun Chen, Ju-Chin Lin, Kawuu W. Department of Computer Science and Information Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

ISBN: (纸本)9781509036387

With the development of image processing and computer vision technology, using gesture to communicate with the machine will not only appear in scientific move or just a conceptual product. Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. With this, we can have a more convenient life. Therefore, our goal is using image processing algorithm to effectively recognize the correct gesture from camera and present a user-friendly human-machine interface. In recent years, gesture recognition has become a popular and important issue. It can be used for robot control, appliances control, gaming control, etc. We present an algorithm which is able to correctly calculate the accurate finger joint position and then evaluate the gesture. This algorithm is divided into two parts: hand position detection and gesture recognition. In gesture detection, we capture the depth image from depth camera to solve the problem caused by illumination and background. In gesture recognition, we use an object recognizing algorithm to make the difficult evaluating finger movement problem corresponds to an easier voting classify problem. Depth camera helps our classifier avoid the illumination problem from incorrectly recognizing object. © 2016 IEEE.

关键词： Gesture recognition

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Local Gabor Wavelet-Based Feature Extraction and Evaluation 3rd

Local Gabor Wavelet-Based Feature Extraction and Evaluation

引用

3rd international conference on Advanced Computing, Networking, and Informatics (ICACNI)

作者： Malathi, T. Bhuyan, M. K. Indian Inst Technol Dept Elect & Elect Engn Gauhati 781039 India

ISBN: (纸本)9788132225386;9788132225379

Feature extraction is an essential step in many image processing and computer vision applications. It is quite desirable that the extracted features can effectively represent an image. Furthermore, the dominant information visually perceived by human beings should be efficiently represented by the extracted features. Over the last few decades, different algorithms are proposed to address the major issues of image representations by the efficient features. Gabor wavelet is one of the most widely used filters for image feature extraction. Existing Gabor wavelet-based feature extraction methodologies unnecessarily use both the real and the imaginary coefficients, which are subsequently processed by dimensionality reduction techniques such as PCA, LDA etc. This procedure ultimately affects the overall performance of the algorithm in terms of memory requirement and the computational complexity. To address this particular issue, we proposed a local image feature extraction method by using a Gabor wavelet. In our method, an image is divided into overlapping image blocks, and subsequently each of the image blocks are separately filtered out by Gabor wavelet. Finally, the extracted coefficients are concatenated to get the proposed local feature vector. The efficacy and effectiveness of the proposed feature extraction method is evaluated using the estimation of mean square error (MSE), peak signal-to-noise ratio (PSNR), and the correlation coefficient (CC) by reconstructing the original image using the extracted features, and compared it with the original input image. All these performance evaluation measures clearly show that real coefficients of the Gabor filter alone can effectively represent an image as compared to the methods which utilize either the imaginary coefficients or the both. The major novelty of our method lies on our claim-capability of the real coefficients of a Gabor filter for image representation.

关键词： image feature extraction Gabor filter image reconstruction

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image correspondence using affine SIFT flow 1

引用

3rd international conference on Innovations in computer Science and Engineering, ICICSE 2015

作者： Dedeepya, P. Sandhya, B. Department of Computer Science and Engineering M.V.S.R Engineering College Hyderabad India

ISBN: (数字)9789811004193

ISBN: (纸本)9789811004179

image correspondence is one of the critical tasks across various applications of image processing and computer vision. The simple correspondence is being studied from many years for the purpose of image stitching and stereo correspondence. The images assumed for the simple correspondence have same pixel value even after applying the geometric transformations. In this work, we try to correspond images sharing similar content but vary due to change in acquisition like view angle, scale, and illumination. The use of features for flow computation was proposed in SIFT flow, which was used for correspondence across fields. In this method, dense SIFT descriptors are extracted and flow is estimated for matching the SIFT descriptors between two images. In this work, we applied SIFT flow algorithm on the affine transformations of images to be aligned. © Springer Science+Business Media Singapore 2016.

关键词： Stereo image processing

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Detecting video shot boundaries by modified tomography 16

Detecting video shot boundaries by modified tomography

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3rd international Symposium on computer vision and the Internet, visionNet 2016

作者： Varghese, Jina Nair, K. N. Ramachandran School of Computer Sciences Mahatma Gandhi University KottayamKerala India Department of Computer Science Viswajyothi College of Engg and Tech. VazhakulamKerala India

ISBN: (纸本)9781450343015

Videos are large volume objects. They are used for variety of applications in our day-to-day life. Manual operations on video are inconvenient. Hence an automatic system is required to analyse the video content. The first and most important step in any video processing application is shot boundary detection. We propose a novel and very simple approach for Shot Boundary Detection (SBD). This work has lesser complexity compared to existing methods. We use a technique called Computed Tomography for SBD. The method can be applied to any type of videos such as home, surveillance, sports or entertainment videos. The result of our work shows the excellence of the technique in SBD. © 2016 ACM.

关键词： image segmentation

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