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arXiv 2021年

作者： Argaw, Dawit Mureja Kim, Junsik Rameau, Francois Cho, Jae Won Kweon, In So KAIST Robotics and Computer Vision Lab. Daejeon Korea Republic of

In most of computer vision applications, motion blur is regarded as an undesirable artifact. However, it has been shown that motion blur in an image may have practical interests in fundamental computer vision problems. In this work, we propose a novel framework to estimate optical flow from a single motion-blurred image in an end-to-end manner. We design our network with transformer networks to learn globally and locally varying motions from encoded features of a motion-blurred input, and decode left and right frame features without explicit frame supervision. A flow estimator network is then used to estimate optical flow from the decoded features in a coarse-to-fine manner. We qualitatively and quantitatively evaluate our model through a large set of experiments on synthetic and real motion-blur datasets. We also provide in-depth analysis of our model in connection with related approaches to highlight the effectiveness and favorability of our approach. Furthermore, we showcase the applicability of the flow estimated by our method on deblurring and moving object segmentation tasks. © 2021, CC BY.

关键词： Optical flows

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Retinal vessel tortuosity evaluation via circular hough transform

Retinal vessel tortuosity evaluation via circular hough tran...

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2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011

作者： Ghadiri, Farnoosh Pourreza, Hamidreza Banaee, Touka Delgir, Morteza Computer Engineering Department Machine Vision Lab Ferdowsi University Mashhad Iran Ophthalmic Research Center Khatam-Al-Anbia Hospital Medical Science University Mashhad Iran Computer Science Department Robotics Lab Northeastern University United States

ISBN: (纸本)9781467310055

Retinal vessel tortuosity has shown to be significantly associated with cardiovascular diseases such as hypertension and diabetes. Despite importance of this field a few techniques have been proposed yet. All previous methods rely on a vessel extraction phase, which its accuracy affects final output and also time consuming. Nobility of presented algorithm is to introduce a method for evaluating retinal vessel tortuosity without any explicit vessel detection. We use the Circular Hough Transform (CHT) based on gradient field of the retinal image. Each vessel curve is detected as a semi-circle by Hough transform and tortuosity of the curve is determined with the help of accumulated value of circle center and its radius. As there are no any specific database for tortuosity evaluation, the algorithm was tasted on database consisting of 40 images, mixture of DRIVE database and images from Khatam-Al-Anbia Hospital consisting of 40 retinal images, of which 20 were tortuous and 20 were non-tortuous. The proposed algorithm can achieve classification rate of 92% along with less computation time in compare of previous methods. © 2011 IEEE.

关键词： Database systems

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Fluttering Pattern Generation Using Modified Legendre Sequence for Coded Exposure Imaging

Fluttering Pattern Generation Using Modified Legendre Sequen...

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International Conference on computer vision (ICCV)

作者： Hae-Gon Jeon Joon-Young Lee Yudeog Han Seon Joo Kim In So Kweon Robotics and Computer Vision Lab. KAIST Department of Computer Science Yonsei Univerisity

ISBN: (纸本)9781479928415

Finding a good binary sequence is critical in determining the performance of the coded exposure imaging, but previous methods mostly rely on a random search for finding the binary codes, which could easily fail to find good long sequences due to the exponentially growing search space. In this paper, we present a new computationally efficient algorithm for generating the binary sequence, which is especially well suited for longer sequences. We show that the concept of the low autocorrelation binary sequence that has been well exploited in the information theory community can be applied for generating the fluttering patterns of the shutter, propose a new measure of a good binary sequence, and present a new algorithm by modifying the Legendre sequence for the coded exposure imaging. Experiments using both synthetic and real data show that our new algorithm consistently generates better binary sequences for the coded exposure problem, yielding better deblurring and resolution enhancement results compared to the previous methods for generating the binary codes.

关键词： Correlation Cameras Binary codes Noise computer vision Deconvolution

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Fast Separation of Reflection Components using a Specularity-Invariant Image Representation

Fast Separation of Reflection Components using a Specularity...

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IEEE International Conference on Image Processing

作者： Kuk-jin Yoon Yoojin Choi In So Kweon Department Electrical Engineering and Computer Science KAIST Robotics and Computer Vision Laboratory South Korea Dept. Electrical Engineering and Computer Science Robotics and Computer Vision Lab. Korea

In this paper, we propose a fast method for separating reflection components using a single color image. We first propose a specular-free two-band image that is a specularity-invariant color image representation. Reflection components separation is achieved by comparing local ratios at each pixel and making those ratios equal in an iterative framework. The proposed method is very fast and shows reasonable results for textured indoor/outdoor images.

关键词： Reflection Image representation Layout Color Polarization computer vision Image segmentation Filters Lighting Argon

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Social Personalized Human-Machine Interaction for People with Autism: Defining User Profiles and First Contact with a Robot 10

Social Personalized Human-Machine Interaction for People wit...

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10th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2015

作者： Chevalier, Pauline Tapus, Adriana Martin, Jean-Claude Isableu, Brice Robotics and Computer Vision Lab ENSTA ParisTech Palaiseau91120 France LIMSI CNRS Orsay91403 France CIAMS Motor Control and Perception Univ Paris Sud Orsay91405 France

ISBN: (纸本)9781450333184

Our research aims to develop a new personalized social interaction model between a humanoid robot and/or a virtual agent and an individual suffering of Autistic Spectrum Disorder (ASD), so as to enhance his/her social and communication skills. Because of the intra-individual variability among the ASD population, our objective is to propose a customized social interaction for each individual. In light of the ASD impact on vision and motor processing [1], [2], and in order to define individual's profile, we posit that the individual's reliance to proprioceptive and kinematic visual cues will affect the way he/she interacts with a social agent. A first experiment that defines each participants' perceptivo-cognitive and sensorimotor profile with respect to the integration of visual inputs has already been conducted. We also presented the Nao robot to 4 children with ASD, and analyzed their behavior prior to their profiles. First results are promising. © 2015 Authors.

关键词： Sensory perception

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Radiometric Calibration by Transform Invariant Low-rank Structure

Radiometric Calibration by Transform Invariant Low-rank Stru...

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IEEE Conference on computer vision and Pattern Recognition

作者： Joon-Young Lee Boxin Shi Yasuyuki Matsushita In-So Kweon Katsushi Ikeuchi Robotics and Computer Vision Lab KAIST The University of Tokyo Microsoft Research Asia

ISBN: (纸本)9781457703942

We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different exposure times. We formulate the radiometric calibration problem as a rank minimization problem. Unlike previous approaches, our method naturally avoids over-fitting problem;therefore, it is robust against biased distribution of the input data, which is common in practice. When the exposure times are completely unknown, the proposed method can robustly estimate the response function up to an exponential ambiguity. The method is evaluated using both simulation and real-world datasets and shows a superior performance than previous approaches.

关键词： exposure time incoming data Radiation Response function Invariant Transform CALIBRATION METHODS

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3D Modeling from Wide Baseline Range Scans using Contour Coherence

3D Modeling from Wide Baseline Range Scans using Contour Coh...

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IEEE Conference on computer vision and Pattern Recognition

作者： Ruizhe Wang Jongmoo Choi Gerard Medioni Computer Vision Lab Institute for Robotics and Intelligent Systems University of Southern California

Registering 2 or more range scans is a fundamental problem, with application to 3D modeling. While this problem is well addressed by existing techniques such as ICP when the views overlap significantly at a good initialization, no satisfactory solution exists for wide baseline registration. We propose here a novel approach which leverages contour coherence and allows us to align two wide baseline range scans with limited overlap from a poor initialization. Inspired by ICP, we maximize the contour coherence by building robust corresponding pairs on apparent contours and minimizing their distances in an iterative fashion. We use the contour coherence under a multi-view rigid registration framework, and this enables the reconstruction of accurate and complete 3D models from as few as 4 frames. We further extend it to handle articulations, and this allows us to model articulated objects such as human body. Experimental results on both synthetic and real data demonstrate the effectiveness and robustness of our contour coherence based registration approach to wide baseline range scans, and to 3D modeling.

关键词： Three-dimensional displays Coherence Robustness Cameras Iterative closest point algorithm Shape Vectors

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Integrated framework for developing search and discrimination metrics

Integrated framework for developing search and discriminatio...

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Targets and Backgrounds: Characterization and Representation III

作者： Copeland, Anthony C. Trivedi, Mohan M. Comp. Vision and Robotics Res. Lab. Electrical and Computer Eng. Dept. University of California San Diego San Diego CA 92093-0407 United States

This paper presents an experimental framework for evaluating target signature metrics as models of human visual search and discrimination. This framework is based on a prototype eye tracking testbed, the Integrated Testbed for Eye Movement Studies (ITEMS). ITEMS determines an observer's visual fixation point while he studies a displayed image scene, by processing video of the observer's eye. The utility of this framework is illustrated with an experiment using gray-scale images of outdoor scenes that contain randomly placed targets. Each target is a square region of a specific size containing pixel values from another image of an outdoor scene. The real-world analogy of this experiment is that of a military observer looking upon the sensed image of a static scene to find camouflaged enemy targets that are reported to be in the area. ITEMS provides the data necessary to compute various statistics for each target to describe how easily the observers located it, including the likelihood the target was fixated or identified and the time required to do so. The computed values of several target signature metrics are compared to these statistics, and a second-order metric based on a model of image texture was found to be the most highly correlated.

关键词： Automatic target recognition

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Video Face Clustering with Self-Supervised Representation Learning

IEEE Transactions on Biometrics, Behavior, and Identity Scie...

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IEEE Transactions on Biometrics, Behavior, and Identity Science 2020年第2期2卷 145-157页

作者： Sharma, Vivek Tapaswi, Makarand Saquib Sarfraz, M. Stiefelhagen, Rainer Department of Informatics Institute for Anthropomatics and Robotics Computer Vision for Human-Computer Interaction Lab Karlsruhe Institute of Technology Karlsruhe76131 Germany University of Toronto TorontoONM5S 3G4 Canada Massachusetts Institute of Technology CambridgeMA02139 United States Vector Institute TorontoON Canada Inria Paris75012 France

Characters are a key component of understanding the story conveyed in TV series and movies. With the rise of advanced deep face models, identifying face images may seem like a solved problem. However, as face detectors get better, clustering and identification need to be revisited to address increasing diversity in facial appearance. In this paper, we propose unsupervised methods for feature refinement with application to video face clustering. Our emphasis is on distilling the essential information, identity, from the representations obtained using deep pre-trained face networks. We propose a self-supervised Siamese network that can be trained without the need for video/track based supervision, that can also be applied to image collections. We evaluate our methods on three video face clustering datasets. Thorough experiments including generalization studies show that our methods outperform current state-of-the-art methods on all datasets. The datasets and code are available at https://***/vivoutlaw/SSIAM. © 2019 IEEE.

关键词： computer vision

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Motion-oriented attention for a social gaze robot behavior

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8755卷 310-319页

作者： Sorostinean, Mihaela Ferland, François Dang, Thi-Hai-Ha Tapus, Adriana Computer Vision and Robotics Lab Computer Science and System Engineering Department ENSTA-ParisTech Palaiseau France

ISBN: (纸本)9783319119724

Various studies have shown that human visual attention is generally attracted by motion in the field of view. In order to embody this kind of social behavior in a robot, its gaze should focus on key points in its environment, such as objects or humans moving. In this paper, we have developed a social natural attention system and we explore the perception of people while interacting with a robot in three different situations: one where the robot has a totally random gaze behavior, one where its gaze is fixed on the person in the interaction, and one where its gaze behavior adapts to the motion-based environmental context. We conducted an online survey and an on-site experiment with the Meka robot so as to evaluate people’s perception towards these three types of gaze. Our results show that motion-oriented gaze can help to make the robot more engaging and more natural to people. © 2014 Springer International Publishing Switzerland.

关键词： Robots

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