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丛书名： Lecture Notes in computer Science

1000年

作者： Minsu Cho Ivan Laptev Du Tran Angela Yao Hong-Bin Zha

ISBN: (数字)9789819626441

ISBN: (纸本)9789819626434

This 2-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on computer vision, in Hanoi, Vietnam, held during December 8–12, 2024. The 269 full papers included in this volume were carefully reviewed and selected from 839 submissions. The conference presents and discusses new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence.

关键词： image processing and computer vision Special Purpose and Application-Based Systems computer Imaging, vision, Pattern Recognition and Graphics Machine Learning computer Applications

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Pattern Analysis and Machine Intelligence 1

Pattern Analysis and Machine Intelligence

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丛书名： Communications in computer and Information Science

1000年

作者： Jie Yang Yuanjie Zheng Chen Gong

ISBN: (数字)9789819633494

ISBN: (纸本)9789819633487

This book constitutes the referred proceedings of the First International Conference on Pattern Analysis and Machine Intelligence, ICPAMI 2024, held in Shanghai, China, from August 30 to September 01, 2024. The 28 papers presented here were carefully reviewed and selected from 56 submissions. These papers have been organized under the following topical sections: computer vision and Pattern Recognition; Natural Language processing (NLP) and Machine Learning; Intelligent System and Optimization Algorithm.

关键词： image processing and computer vision Pattern Recognition computer Imaging, vision, Pattern Recognition and Graphics Signal, image and Speech processing Biometrics Machine Learning

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Advances in Data Clustering 1

Advances in Data Clustering

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1000年

作者： Fadi Dornaika Denis Hamad Joseph Constantin Vinh Truong Hoang

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Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2022年 19卷 1页

作者： Kurmi, Indrajit Schedl, David C. Bimber, Oliver Johannes Kepler Univ Linz Dept Comp Sci A-4040 Linz Austria

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In this letter, we present a new approach for reducing pose estimation errors beyond the possibilities of conventional Perspective-n-Point solutions by considering the underlying optimization as a focusing problem. We present an efficient image integration technique, which also reduces the parameter search space to achieve realistic processing times, and improves the quality of resulting synthetic integral images.

关键词： Optimization Pose estimation Cameras Forestry Force Thermal sensors Optical sensors Enhancement image processing and computer vision

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A comparison of methods for generating synthetic training data for domain adaption of deep learning models in ultrasonic non-destructive evaluation

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NDT & E INTERNATIONAL 2024年 141卷

作者： Mcknight, Shaun Pierce, S. Gareth Mohseni, Ehsan Mackinnon, Christopher Macleod, Charles 'Hare, Tom Loukas, Charalampos Univ Strathclyde Elect & Elect Engn Glasgow Scotland Spirit Aerosyst Belfast North Ireland

This work provides a solution to the challenge of small amounts of training data in Non-Destructive Ultrasonic Testing for composite components. It was demonstrated that direct simulation alone is ineffective at producing training data that was representative of the experimental domain due to poor noise reconstruction. Therefore, four unique synthetic data generation methods were proposed which use semi-analytical simulated data as a foundation. Each method was evaluated for its performance in the classification of real experimental images when trained on a Convolutional Neural Network which underwent hyperparameter optimization using a genetic algorithm. The first method introduced task specific modifications to CycleGAN, a generative network for image -to-image translation, to learn the mapping from physics-based simulations of defect indications to experimental indications in resulting ultrasound images. The second method was based on combining real experimental defect free images with simulated defect responses. The final two methods fully simulated the noise responses at an image and signal level respectively. The purely simulated data produced a mean classification F1 score of 0.394. However, when trained on the new synthetic datasets, a significant improvement in classification performance on experimental data was realized, with mean classification F1 scores of 0.843, 0.688, 0.629, and 0.738 for the respective approaches.

关键词： Deep Learning Ultrasonic Testing Synthetic Data Generation Generative Adversarial Networks image processing and computer vision Genetic Algorithms Non-Destructive Testing

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Treelets Binary Feature Retrieval for Fast Keypoint Recognition

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IEEE TRANSACTIONS ON CYBERNETICS 2015年第10期45卷 2129-2141页

作者： Zhu, Jianke Wu, Chenxia Chen, Chun Cai, Deng Zhejiang Univ Coll Comp Sci Hangzhou 310027 Zhejiang Peoples R China Cornell Univ Dept Comp Sci Ithaca NY 14853 USA Zhejiang Univ Coll Comp Sci State Key Lab CAD&CG Hangzhou 310058 Zhejiang Peoples R China

Fast keypoint recognition is essential to many vision tasks. In contrast to the classification-based approaches, we directly formulate the keypoint recognition as an image patch retrieval problem, which enjoys the merit of finding the matched keypoint and its pose simultaneously. To effectively extract the binary features from each patch surrounding the keypoint, we make use of treelets transform that can group the highly correlated data together and reduce the noise through the local analysis. Treelets is a multiresolution analysis tool, which provides an orthogonal basis to reflect the geometry of the noise-free data. To facilitate the real-world applications, we have proposed two novel approaches. One is the convolutional treelets that capture the image patch information locally and globally while reducing the computational cost. The other is the higher-order treelets that reflect the relationship between the rows and columns within image patch. An efficient sub-signature-based locality sensitive hashing scheme is employed for fast approximate nearest neighbor search in patch retrieval. Experimental evaluations on both synthetic data and the real-world Oxford dataset have shown that our proposed treelets binary feature retrieval methods outperform the state-of-the-art feature descriptors and classification-based approaches.

关键词： Feature matching hashing image processing and computer vision treelets

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Journal of Real-Time image processing: first issue of volume 19

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JOURNAL OF REAL-TIME image processing 2022年第1期19卷 1-1页

作者： Kehtarnavaz, Nasser Univ Texas Dallas Richardson TX 75083 USA

In this first issue of volume 19 in 2022, I would like to begin by paying tribute to Dr. Matthias Carlsohn who shared the duties of editor-in-chief with me from the inception of the journal 16 years ago in 2006 till the end of last year 2021. [...]the papers associated with a topical collection would appear as they get accepted under a listing for the topical collection. Manuscripts having text similarities with previous publications, even by the same authors, are normally rejected and not placed into the review pipeline. [...]authors are urged to pay a very close attention to this matter by making sure that no text similarities appear in their manuscripts before they submit them to JRTIP.

关键词： image processing and computer vision Multimedia Information Systems computer Graphics Pattern Recognition Signal image and Speech processing

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Omnidirectional Surveillance System Featuring Trespasser and Faint Detection for i-Habitat

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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2015年第8期29卷 1559012-1559012页

作者： Wong, Wai Kit Fo, Joshua Shin-Ton Multimedia Univ MMU Fac Engn & Technol Melaka 75450 Malaysia

This paper proposed an efficient omnidirectional surveillance system for i-habitat (intelligent habitat or smart home in another name) security. In this surveillance system, the omnidirectional scenes in a room, kitchen, balcony, dining hall, corridor, garage or backyard within an i-habitat are first captured using wireless webcam attached to a specially designed hyperbolic optical mirror. The captured scenes are then fed into a wireless router connected to laptop computer for image processing and alarm purposes. A mapping algorithm is developed to match the captured omnidirectional image into panoramic image, hence providing the observer or image processing tools a complete wide angle of view. An efficient trespasser detection algorithm is designed for trespasser detection purpose, and an efficient faint detection algorithm is designed to identify/monitor if there is any member who stay in i-habitat (old-folks or ill-patients) who fall down or faint and thus, immediate attention can be carried out. Based on the experimental findings, both the proposed trespasser and faint detection algorithm achieves high accuracy.

关键词： image processing and computer vision smart home security trespasser detection health care surveillance

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Shape Recognition and Pose Estimation for Mobile Augmented Reality

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IEEE TRANSACTIONS ON VISUALIZATION AND computer GRAPHICS 2011年第10期17卷 1369-1379页

作者： Hagbi, Nate Bergig, Oriel El-Sana, Jihad Billinghurst, Mark Ben Gurion Univ Negev Visual Media Lab IL-84105 Beer Sheva Israel Univ Canterbury HIT Lab NZ Canterbury New Zealand

Nestor is a real-time recognition and camera pose estimation system for planar shapes. The system allows shapes that carry contextual meanings for humans to be used as Augmented Reality (AR) tracking targets. The user can teach the system new shapes in real time. New shapes can be shown to the system frontally, or they can be automatically rectified according to previously learned shapes. Shapes can be automatically assigned virtual content by classification according to a shape class library. Nestor performs shape recognition by analyzing contour structures and generating projective-invariant signatures from their concavities. The concavities are further used to extract features for pose estimation and tracking. Pose refinement is carried out by minimizing the reprojection error between sample points on each image contour and its library counterpart. Sample points are matched by evolving an active contour in real time. Our experiments show that the system provides stable and accurate registration, and runs at interactive frame rates on a Nokia N95 mobile phone.

关键词： Multimedia information systems artificial augmented and virtual realities image processing and computer vision scene analysis tracking

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Truthful Color Reproduction in Spatial Augmented Reality Applications

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IEEE TRANSACTIONS ON VISUALIZATION AND computer GRAPHICS 2013年第2期19卷 236-248页

作者： Menk, Christoffer Koch, Reinhard Volkswagen AG D-38446 Wolfsburg Germany Univ Kiel Inst Informat D-24098 Kiel Germany

Spatial augmented reality is especially interesting for the design process of a car, because a lot of virtual content and corresponding real objects are used. One important issue in such a process is that the designer can trust the visualized colors on the real object, because design decisions are made on basis of the projection. In this paper, we present an interactive visualization technique which is able to exactly compute the RGB values for the projected image, so that the resulting colors on the real object are equally perceived as the real desired colors. Our approach computes the influences of the ambient light, the material, the pose and the color model of the projector to the resulting colors of the projected RGB values by using a physically based computation. This information allows us to compute the adjustment for the RGB values for varying projector positions at interactive rates. Since the amount of projectable colors does not only depend on the material and the ambient light, but also on the pose of the projector, our method can be used to interactively adjust the range of projectable colors by moving the projector to arbitrary positions around the real object. We further extend the mentioned method so that it is applicable to multiple projectors. All methods are evaluated in a number of experiments.

关键词： computer graphics picture/image generation display algorithms raytracing augmented reality image processing and computer vision radiometry color

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