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A Joint visual-Inertial image Registration for Mobile HDR Imaging

A Joint Visual-Inertial Image Registration for Mobile HDR Im...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Dasari, Radhakrishna Chen, Chang Wen SUNY Buffalo Dept Comp Sci & Engn Buffalo NY 14260 USA

ISBN: (纸本)9781509053162

Robust image alignment is a necessary and challenging step for numerous computational photography applications. In particular, large camera motion poses significant challenge to Mobile High Dynamic Range (HDR) Imaging due to hand-held capture of input images and limited computational resources. Aligning images only by detecting and matching image features is computationally expensive and can also be erratic. We present a robust multi-sensory method for aligning exposure bracketed images on mobile cameras. We use inertial sensor based camera pose estimate to pre-warp images and iteratively align them by minimizing alignment error. We also simultaneously estimate local motion masks which can be used to eliminate ghosting artifacts in the final HDR image. We collected HDR image dataset with diverse scenes along with inertial sensor data, which is a novel contribution and have evaluated our performance with existing mobile HDR image alignment techniques in literature.

关键词： image processing image fusion Sensor fusion image registration Mobile computing

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Experimental Analysis of visual Inverted Pendulum Servoing System 16th

引用

Joint conference of the 16th Asia Simulation conference / SCS International Autumn Simulation Multi-conference (AsiaSim/SCS AutumnSim)

作者： Du, Dajun Zhan, Bin Li, Wangpei Fei, Minrui Yang, TaiCheng Shanghai Univ Sch Mechatron Engn & Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China Univ Sussex Dept Engn & Design Brighton BN1 9QT E Sussex England

ISBN: (纸本)9789811026690;9789811026683

This paper is concerned with experimental analysis of visual inverted pendulum servoing system. Firstly, visual inverted pendulum servoing system is introduced, and three typical image processing algorithms are described. These three algorithms are then employed to process the image of inverted pendulum captured by camera. Comparative experiments are operated, and the detection precision and real time performance are analyzed. This lays a solid foundation for future control research of visual inverted pendulum servoing system.

关键词： Machine vision image processing Inverted pendulum Computational time Computational error

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A Real-Time Second-Order Derivative-Based image Interpolation

A Real-Time Second-Order Derivative-Based Image Interpolatio...

引用

IEEE International conference on Consumer Electronics (ICCE)

作者： Uhm, Kwang-Hyun Lee, Seung-Jun Kang, Mun-Cheon Chae, Sung-Ho Ko, Sung-Jea Korea Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781467383646

Curvature, the second-order directional derivative of an image, has been widely used for image interpolation. However, conventional curvature-based interpolation (CBI) methods employ a time-consuming post processing to reduce visual artifacts such as blurring and jagging caused by the inaccurate estimation of the local curvature. In this paper, a novel fast CBI method is proposed which can precisely estimate the local curvature using the geometric relationship between the curvatures of the low-resolution and high-resolution images. Experimental results show that the proposed method is not only robust to visual artifacts even without any post processing, but also about 40 times faster than the conventional CBI method, making it applicable to consumer electronics.

关键词： Interpolation

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Improved Spread Spectrum Compressive image Watermark Detection with Distortion Minimization 11

Improved Spread Spectrum Compressive Image Watermark Detecti...

引用

11th International conference on Signal processing and communications (SPCOM)

作者： Bose, Anirban Maity, Santi P. Indian Inst Engn Sci & Technol Dept Informat Technol Sibpur 711103 Howrah India

ISBN: (纸本)9781509017461

An improved model for additive spread spectrum (SS) watermark detection on compressed sensing (CS) reconstructed images is presented in this paper. Mathematical form of detection threshold in log-likelihood ratio model is derived first and it is seen that detection probability depends on the embedding strength, watermark power, host signal variance on CS along with noise variance in observation/measurements. An optimization framework is then developed to minimize the visual distortion that includes reconstruction and embedding distortion while satisfying certain detection reliability constraint. An approximate closed form solution to the optimization problem in terms of embedding strength and set of appropriate host samples selection for a given number of CS measurements is derived and validated by a large set of simulations.

关键词： Spread spectrum watermarking compressed sensing log-likelihood ratio test distortion minimization

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No-reference image Quality Assessment based on Global and Local Content Perception

No-reference Image Quality Assessment based on Global and Lo...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Sun, Cuirong Li, Houqiang Li, Weiping Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Peoples R China

ISBN: (纸本)9781509053162

Existing no-reference image quality assessment (NR-IQA) methods mainly focus on designing the low-level features related to image degradation. However, the evaluation of image quality is the human visual perception of image content, involving the integrated analysis of global high-level semantics and local low-level characteristics. From this perspective, we propose a NR-IQA framework based on global and local content perception. We adopt the deep convolutional neural network (DCNN) to extract the semantic feature implied in global image content. The perception of visual quality associated with local content utilizes the visual attention and filtering mechanisms of human visual system. The overall image quality is estimated by combining the semantic and local characteristic features generated from the perceptions. Experimental results on the LIVE IQA database demonstrate that our method is superior to the state-of-the-art NR-IQA algorithms and competitive to the popular full reference IQA methods. Further experiments on the TID2008 dataset show that the proposed approach is robust for various kinds of distortion types.

关键词： DCNN Gabor filters human visual perception image content no-reference image quality assessment

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Efficient Object Selection using Depth and Texture Information

Efficient Object Selection using Depth and Texture Informati...

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30th IEEE conference on visual communications and image processing (VCIP)

作者： Seychell, Dylan Debono, Carl James Univ Malta Dept Commun & Comp Engn MSD-2080 Msida Malta

ISBN: (纸本)9781509053162

Object selection is a challenge in computer vision since it is generally a trade-off between accuracy and performance. A popular approach is the use of bounding boxes around objects that are to be selected. Other common techniques provide a set of objects from which the user can then choose. The method presented in this paper is designed around the priority of performance and granular selection of objects in the scene. Experiments performed on a non-parallel implementation of the proposed solution return results in an average time of 0.043s. The technique also returned very good results in the processing of objects that are partially occluded, hence enabling future work in improved identification and recognition of such objects.

关键词： image editing object selection scene understanding texture and depth processing

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Combined Imaging System for Taking Facial Portraits in Visible and Thermal Spectra

引用

8th International conference on image processing and communications (IP and C)

作者： Jasinski, Piotr Forczmanski, Pawel West Pomeranian Univ Technol Fac Comp Sci & Informat Technol Zolnierska Str 52 PL-71210 Szczecin Poland

ISBN: (纸本)9783319238142;9783319238135

This work explores the subject of thermal imagery in the context of face recognition. Its aim is to create a database of facial images taken in both thermal and visual domains. To achieve this, a specialized photographic stand was designed, which allows simultaneous capture of images from IR thermal camera and SLR digital camera. To ensure precision, stability and fluency of photographic sessions, a Matlab application has been developed, through which it is possible to remotely control both devices, as well as automatically download captured images onto a hard drive and save them within an organized folder structure. Additionally, several image fusion techniques have been implemented in order to effectively combine visual and thermal data for use in face recognition algorithms.

关键词： Thermovision Biometrics Face Database image fusion

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Single image Haze Removal Using Gaussian Mixture Model and Sparse Optimization

Single Image Haze Removal Using Gaussian Mixture Model and S...

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30th IEEE conference on visual communications and image processing (VCIP)

作者： Shen, Yuxiang Wu, Xiaolin Hulu LLC Beijing Peoples R China McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4L8 Canada

ISBN: (纸本)9781509053162

Single image haze removal is an underdetermined inverse problem whose solution hinges on valid image priors or models. In this work, robust priors drawn from outdoor scene statistics are explored. Specifically, a Gaussian mixture model of chrominance distribution is proposed toward transmittance estimation and its physical validity is justified. In addition, a new sparsity-based optimization approach for transmittance image super-resolution/restoration is proposed, which makes a solid assumption that most outdoor object surfaces are piece wise linear and thus the corresponding depth image is sparse in Laplacian space. Experimental results are given in proof of the remarkably improved visual quality of our new haze removal technique over its predecessors.

关键词： sparsity machine learning haze removal image restoration dark-channel prior

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visual Attention Analysis and Prediction on Human Faces with Mole

Visual Attention Analysis and Prediction on Human Faces with...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Wei, Qianqian Zhai, Guangtao Hu, Chunjia Min, Xiongkuo Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai Peoples R China

ISBN: (纸本)9781509053162

Nowadays visual attention has been applied to many research and application problems. Different algorithms from low level to high level have been developed to detect the saliency map. For images with human face, high-level factors like mole may influence the visual attention. To investigate visual attention on human face with mole, we construct a visual Attention database for Faces with Mole (VAFM) that contains face images, fixation density maps (FDM), landmark points as well as eye tracking data. Then we build visual attention model for face images with mole combining low-level saliency algorithms and high-level feature. Compared with the traditional low-level saliency algorithms, the proposed model perform better on our dataset.

关键词： Saliency map Human face visual attention facial features high-level factors

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Saliency Analysis and Region of Interest Detection via Orientation Information and Contrast Feature in Remote Sensing images

Saliency Analysis and Region of Interest Detection via Orien...

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30th IEEE conference on visual communications and image processing (VCIP)

作者： Lv, Wen Wang, Shuang Zhang, Libao Beijing Normal Univ Coll Informat Sci & Technol 19 Xinjiekouwai St Beijing 100875 Peoples R China

ISBN: (纸本)9781509053162

Saliency analysis is an important implement for remote sensing image processing. It can effectively solve the contradiction between accuracy and computation complexity when it is applied in the region of interest (ROI) detection and extraction for remote sensing images. In this paper, we propose an efficient ROI detection model for remote sensing images based on low-level contrast feature saliency analysis. For the proposed model, we first perform fast directional integer wavelet transform (FD-IWT) to obtain multi-scale approximate and detail coefficients. Then these multi-scale orientation, local contrast, and global contrast features are exploited to generate the saliency map. Qualitative and quantitative evaluation shows that the proposed model outperforms the other nine state-of-art ROI detection models for that the proposed model can obtain highlighted and integrated ROI with well-defined boundaries, as well as eliminate the shadow interference in remote sensing image.

关键词： image processing saliency analysis region of interest detection wavelet transform local contrast

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