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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

共 1004 条记录，以下是31-40 订阅

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Location Estimation of an Urban Scene using computer vision Techniques 15

Location Estimation of an Urban Scene using Computer Vision ...

引用

15th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 15th International conference on computer vision theory and Applications (VISAPP)

作者： Gordan, Paul Boros, Hanniel Giosan, Ion Tech Univ Cluj Napoca Comp Sci Dept Fac Automat & Comp Sci Cluj Napoca Romania

ISBN: (纸本)9789897584022

the process of adding the geographical identification data to an image is called geotagging and is important for a range of applications starting from tourism to law enforcement agencies. the most convenient way of adding location metadata to an image is GPS geotagging. this article presents an alternative way of adding the approximate location metadata to an urban scene image by finding similar images in a dataset of geotagged images. the matching is done by extracting the image features and descriptors and matching them. the dataset consists in geotagged 360 degrees panoramic images. We explored three methods of matching the images, each one being an iteration of the previous method. the first method used only feature detection and matching using AKAZE and FLANN, the second method performed image segmentation to provide a mask for extracting features and descriptors only from buildings and the third method preprocessed the dataset to obtain better accuracy. We managed to improve the accuracy of the system by 25%. Following the in-depth analysis of the results we will present the results as well as future improvements.

关键词： Location Estimation computer vision image processing image Segmentation Feature Detection Feature Extraction image Matching

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A Novel Framework for Multi-focus image Fusion

A Novel Framework for Multi-focus Image Fusion

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4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Bhatnagar, Gaurav Wu, Q. M. Jonathan Indian Inst Technol Jodhpur Rajasthan India Univ Windsor Windsor ON N9B 3P4 Canada

ISBN: (纸本)9781479915880

One of the foremost requisite for human perception and computer vision task is to get an image with all objects in focus. the image fusion process, as one of the solutions, allows getting a clear fused image from several images acquired with different focus levels of a scene. In this paper, a novel framework for multi-focus image fusion is proposed, which is computationally simple since it realizes only in the spatial domain. the proposed framework is based on the fractal dimensions of the images into the fusion process. the extensive experiments on different multifocus image sets demonstrate that it is consistently superior to the conventional image fusion methods in terms of visual and quantitative evaluations.

关键词： image fusion images multi-focus Quantitative Evaluation imagery (Psychotherapy) Frameworks

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Resources and End-to-End Neural Network Models for Arabic image Captioning 15

Resources and End-to-End Neural Network Models for Arabic Im...

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作者： ElJundi, Obeida Dhaybi, Mohamad Mokadam, Kotaiba Hajj, Hazem Asmar, Daniel Amer Univ Beirut Elect & Comp Engn Dept Beirut Lebanon Amer Univ Beirut Civil & Environm Engn Dept Beirut Lebanon Amer Univ Beirut Mech Engn Dept Beirut Lebanon

ISBN: (纸本)9789897584022

image Captioning (IC) is the process of automatically augmenting an image with semantically-laden descriptive text. While English IC has made remarkable strides forward in the past decade, very little work exists on IC for other languages. One possible solution to this problem is to boostrap off of existing English IC systems for image understanding, and then translate the outcome to the required language. Unfortunately, as this paper will show, translated IC is lacking due to the error accumulation of the two tasks;IC and translation. In this paper, we address the problem of image captioning in Arabic. We propose an end-to-end model that directly transcribes images into Arabic text. Due to the lack of Arabic resources, we develop an annotated dataset for Arabic image captioning (AIC). We also develop a base model for AIC that relies on text translation from English image captions. the two models are evaluated with the new dataset, and the results show the superiority of our end-to-end model.

关键词： Deep Learning computer vision Natural Language processing image Captioning Arabic

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image Deblurring in Super-resolution Framework

Image Deblurring in Super-resolution Framework

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4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Mandal, Srimanta Sao, Anil Kumar Indian Inst Technol Mandi Sch Comp & Elect Engn Mandi Himachal Prades India

ISBN: (纸本)9781479915880

In all image processing applications, it is important to extract the appropriate information from an image. But often the captured image is not clear enough to give the required information due to the imaging environment. thus, it is essential to enhance the clarity of the image by some post-processing techniques. image deblurring is one of such techniques to remove the blurry effect of the captured image. this paper looks into this problem in a different way, where the deblurring of an image is addressed by solving image super-resolution problem. the blurred image is first down-sampled and then it is fed to the super-resolution framework to produce the deblurred high resolution image. In addition, the proposed approach states the requirement of edge preservation in the problem. the experimental results are comparable with the existing image deblurring algorithms.

关键词： image enhancement

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Parallel Mesh Regularization and Resampling Algorithm for Improved Mesh Registration

Parallel Mesh Regularization and Resampling Algorithm for Im...

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4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Banerjee, Sumandeep Dutta, Somnath Biswas, Prabir Kumar Bhowmick, Partha Dept Elect & Elect Commun Engn Kanpur Uttar Pradesh India Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479915880

In this paper, we present a fast and efficient algorithm for regularization and resampling of triangular meshes generated by 3D reconstruction methods such as stereoscopy, laser scanning etc. We also present a scheme for efficient parallel implementation of the proposed algorithm and the time gain with increasing number of processor cores.

关键词： resampling algorithm Medical Subject Headings Processor Core Mesh Mesh Resampling efficient algorithm Parallel Lines stereoscopy Registration

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Perceptual Video Hashing Based on the Achlioptas's Random Projections

Perceptual Video Hashing Based on the Achlioptas's Random Pr...

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4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Sandeep, R. Bora, Prabin K. Indian Inst Technol Guwahati Dept EEE Gauhati India

ISBN: (纸本)9781479915880

A perceptual video hashing function maps the perceptual content of a video into a fixed-length binary string called the perceptual hash. Perceptual hashing is a promising solution to the content-identification and the content-authentication problems. the projections of image and video data onto a subspace have been exploited in the literature to get a compact hash function. We propose a new perceptual video hashing algorithm based on the Achlioptas's random projections. Simulation results show that the proposed perceptual hash function is robust to common signal and image processing attacks.

关键词： Video hashing Random projections Achlioptas's Random Matrix Content-identification Content-authentication

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Spectrogrand: Computational Creativity Driven Audiovisuals' Generation From Text Prompts 24

Spectrogrand: Computational Creativity Driven Audiovisuals' ...

引用

15th indian conference on computer vision graphics and image processing

作者： Jaisankar, Vijay Jayagopi, Dinesh Babu Int Inst Informat Technol Bangalore Bangalore Karnataka India

ISBN: (纸本)9798400710759

We explore the applicability of spectrograms in Deep learning applications and in guiding creative decisions. To this end, we propose Spectrogrand, a novel spectrogram-driven end-to-end Generative AI pipeline creating interesting audiovisuals from text prompts and incorporating lightweight computational creativity metrics. this process involves selecting a music piece to underpin the audiovisual, generating an album cover image for the music, and performing neural style transfer on spectrogram chunks to generate the frames for the audiovisual. To democratise the benefits of this pipeline, we open-source the tool, computational creativity metrics, and associated data (1).

关键词： Computational creativity Generative AI Audiovisual generation Spectrograms computer vision

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Visualization of three-dimensional reachable set for the Dubins car 15

Visualization of three-dimensional reachable set for the Dub...

引用

International conference on computer graphics, Visualization, computer vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021

作者： Vasev, Pavel Fedotov, Andrey Patsko, Valerii Krasovskii Institute of Mathematics and Mechanics Yekaterinburg Russia

ISBN: (纸本)9789898704320

A mathematical model of controlled motion (called the Dubins car in the literature on optimal control) is considered. this model is widely used to describe various motions: an airplane in a horizontal plane, a car, etc. the paper deals with the problem of visualization of the three-dimensional reachable sets for the Dubins car. the developed visualization tool can be useful for research purposes, as well, for teaching a course of the optimal control. © 2021 International conference on computer graphics, Visualization, computer vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021. All rights reserved.

关键词： three dimensional computer graphics

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Stereoscopic Text-based CAPTCHA on Head-Mounted Displays 15

Stereoscopic Text-based CAPTCHA on Head-Mounted Displays

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作者： Hosaka, Tadaaki Furuya, Shinnosuke Tokyo Univ Sci Sch Management Chiyoda City Tokyo Japan

ISBN: (纸本)9789897584022

Text-based CAPTCHAs (completely automated public Turing test to tell computers and humans apart) are widely used to prevent unauthorized access by bots. However, there have been advancements in image segmentation and character recognition techniques, which can be used for bot access;therefore, distorted characters that are difficult even for humans to recognize are often utilized. thus, a new text-based CAPTCHA technology with anti-segmentation properties is required. In this study, we propose CAPTCHA that uses stereoscopy based on binocular disparity. Generating a character area and its background with the identical color patterns, it becomes impossible to extract the character regions if the left and right images are analyzed separately, which is a huge advantage of our method. However, character regions can be extracted by using disparity estimation or subtraction processing using both images;thus, to prevent such attacks, we intentionally add noise to the image. the parameters characterizing the amount of added noise are adjusted based on experiments with subjects wearing a head-mounted display to realize stereo vision. With optimal parameters, the recognition rate reaches 0.84;moreover, sufficient robustness against bot attacks is achieved.

关键词： CAPTCHA image Authentication 3D vision Stereo Matching Virtual Reality

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OD-Match: PatchMatch based Optic Disk Detection

OD-Match: PatchMatch based Optic Disk Detection

引用

4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ramakanth, S. Avinash Bahu, R. Venkatesh Indian Inst Sci SERC Video Analyt Lab Bangalore 560012 Karnataka India

ISBN: (纸本)9781479915880

Approximate Nearest-Neighbour Field has been an area of interest in recent research for a wide variety of topics in graphics and multimedia community. Medical image processing is a relatively unaffected field by these developments in ANNF computations, brought about by various extremely efficient algorithms like PatchMatch. In this paper, we use Generalized PatchMatch for Optic Disk detection, in retinal images, and show that by making use of efficient ANNF computations we are able to generate results with 98% accuracy with an average time of 0.5 sec. this is significantly faster than conventional Optic Disk detection methods, which average at 95-97% accuracy with 3-5 sec average computation time.

关键词： Approximate Nearest Neighbour Field Generalized PatchMatch Optic Disk detection Fundal image processing

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