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Geometry-Aware Feature Matching for Structure from Motion applications

Geometry-Aware Feature Matching for Structure from Motion Ap...

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ieee workshop on applications of computer vision (WACV)

作者： Rajvi Shah Vanshika Srivastava P.J. Narayanan Center for Visual Information Technology IIIT Hyderabad India

We present a two-stage, geometry-aware approach for matching SIFT-like features in a fast and reliable manner. Our approach first uses a small sample of features to estimate the epipolar geometry between the images and leverages it for guided matching of the remaining features. This simple and generalized two-stage matching approach produces denser feature correspondences while allowing us to formulate an accelerated search strategy to gain significant speedup over the traditional matching. The traditional matching punitively rejects many true feature matches due to a global ratio test. The adverse effect of this is particularly visible when matching image pairs with repetitive structures. The geometry-aware approach prevents such pre-emptive rejection using a selective ratio-test and works effectively even on scenes with repetitive structures. We also show that the proposed algorithm is easy to parallelize and implement it on the GPU. We experimentally validate our algorithm on publicly available datasets and compare the results with state-of-the-art methods.

关键词： Graphics processing units Geometry Instruction sets Reliability Three-dimensional displays Approximation algorithms Estimation

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Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences

Online Stochastic Tensor Decomposition for Background Subtra...

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International Conference on computer vision workshops (ICCV workshops)

作者： Andrews Sobral Sajid Javed Soon Ki Jung Thierry Bouwmans El-hadi Zahzah University of La Rochelle France Kyungpook National University Korea School of Computer Science and Engineering

ISBN: (纸本)9781467397124

Background subtraction is an important task for visual surveillance systems. However, this task becomes more complex when the data size grows since the real-world scenario requires larger data to be processed in a more efficient way, and in some cases, in a continuous manner. Until now, most of background subtraction algorithms were designed for mono or trichromatic cameras within the visible spectrum or near infrared part. Recent advances in multispectral imaging technologies give the possibility to record multispectral videos for video surveillance applications. Due to the specific nature of these data, many of the bands within multispectral images are often strongly correlated. In addition, processing multispectral images with hundreds of bands can be computationally burdensome. In order to address these major difficulties of multispectral imaging for video surveillance, this paper propose an online stochastic framework for tensor decomposition of multispectral video sequences (OSTD). First, the experimental evaluations on synthetic generated data show the robustness of the OSTD with other state of the art approaches then, we apply the same idea on seven multispectral video bands to show that only RGB features are not sufficient to tackle color saturation, illumination variations and shadows problem, but the addition of six visible spectral bands together with one near infrared spectra provides a better background/foreground separation.

关键词： Tensile stress Matrix decomposition Streaming media Sparse matrices Optimization Video surveillance Robustness

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Imaging beyond Human vision 8

Imaging Beyond Human Vision

引用

International Conference on Electrical and computer Engineering

作者： Dutta, Acbyut K. Banpil Photon Inc 4800 Patrick Henry DrSuite 120 Santa Clara CA 95054 USA

ISBN: (纸本)9781479941667

Traditional imaging has been limited to the visible spectrum that humans can see. Imaging technologies are transcending into the invisible spectrums in the infrared (IR) region to enable imaging beyond human vision. We highlight the capabilities and advantages and therefore the value of IR imaging focused primarily on shortwave IR (SWIR) with some elements of long wave IR (LWIR) over the visible spectrum (VIS). We present an overview of SWIR and LWIR device structures based on InP and HgCdTe devices for the respective bands. We also highlight our development of a high-performance multispectral camera system for VIS-SWIR imaging for the most demanding high-sensitivity and high-speed commercial and industrial applications. The 640x512 pixel VIS-SWIR camera system is designed to provide a compact, smallform factor to within a cubic inch, high sensitivity needing less than 100 electrons, high dynamic range exceeding 190 dB, and high-frame rates (> 1000 FPS) at full resolution.

关键词： Infrared camera multispectral VIS-SWIR InP InGaAs HgCdTe MCT FPA high-performance

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Unwrapping the Eye for visible-spectrum Gaze Tracking on Wearable Devices

Unwrapping the Eye for Visible-Spectrum Gaze Tracking on Wea...

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ieee workshop on applications of computer vision (WACV)

作者： Pires, Bernardo Rodrigues Devyver, Michaeel Tsukada, Akihiro Kanade, Takeo Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)9781467350532;9781467350525

Wearable devices with gaze tracking can assist users in many daily-life tasks. When used for extended periods of time, it is desirable that such devices do not employ active illumination for safety reasons and to minimize interference from other light sources such as the sun. Most non active-illumination methods for gaze tracking attempt to locate the iris contour by fitting an ellipse. Although the camera projection causes the iris to appear as an ellipse in the eye image, it is actually a circle on the eye surface. Instead of searching for an ellipse in the eye image, the method proposed in this paper searches for a circle on the eye surface. To this end, the method calibrates a three-dimensional eye model based on the location of the corners of the eye. Using the 3D eye model, an input image is first transformed so that the eye's spherical surface is warped into a plane, thus "unwrapping" the eye. The iris circle is then detected on the unwrapped image by a three-step robust circle-fitting procedure. The location of the circle corresponds to the gaze orientation on the outside image. The method is fast to calibrate and runs in realtime. Extensive experimentation on embedded hardware and comparisons with alternative methods demonstrate the effectiveness of the proposed solution.

关键词： assisted living curve fitting eye gesture recognition human computer interaction iris recognition lighting object tracking solid modelling

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Decoding Cognitive Brain States

Decoding Cognitive Brain States

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ieee International Winter workshop on Brain-computer Interface (BCI)

作者： Porbadnigk, Anne K. Treder, Matthias S. Fazli, Siamac Tangermann, Michael Vidaurre, Carmen Haufe, Stefan Curio, Gabriel Blankertz, Benjamin Mueller, Klaus-Robert Berlin Inst Technol TU Berlin Machine Learning Grp Marchstr 23 D-10587 Berlin Germany Berlin Inst Technol TU Berlin Neurotechnol Grp D-10587 Berlin Germany Charite Dept Neurol Neurophys Grp D-10117 Berlin Germany Korea Univ Dept Brain & Cognit Engn Seoul 136713 South Korea

ISBN: (纸本)9781467359733;9781467359740

The last years have seen a rise in interest in using BCI methodology for investigating non-medical questions beyond the purpose of communication and control. This abstract first provides a short introduction to BCI challenges from a machine learning perspective. The remaining sections present selected applications of BCI discussing in particular the use of EEG in combination with BCI methods for investigating how signal quality is processed on a sensory and cognitive level.

关键词： Brain computer Interfaces Machine Learning Applied Cognitive Neuroscience

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Unwrapping the eye for visible-spectrum gaze tracking on wearable devices

Unwrapping the eye for visible-spectrum gaze tracking on wea...

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ieee workshop on applications of computer vision (WACV)

作者： Bernardo Rodrigues Pires Michäel Devyver Akihiro Tsukada Takeo Kanade The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

Wearable devices with gaze tracking can assist users in many daily-life tasks. When used for extended periods of time, it is desirable that such devices do not employ active illumination for safety reasons and to minimize interference from other light sources such as the sun. Most non active-illumination methods for gaze tracking attempt to locate the iris contour by fitting an ellipse. Although the camera projection causes the iris to appear as an ellipse in the eye image, it is actually a circle on the eye surface. Instead of searching for an ellipse in the eye image, the method proposed in this paper searches for a circle on the eye surface. To this end, the method calibrates a three-dimensional eye model based on the location of the corners of the eye. Using the 3D eye model, an input image is first transformed so that the eye's spherical surface is warped into a plane, thus “unwrapping” the eye. The iris circle is then detected on the unwrapped image by a three-step robust circle-fitting procedure. The location of the circle corresponds to the gaze orientation on the outside image. The method is fast to calibrate and runs in realtime. Extensive experimentation on embedded hardware and comparisons with alternative methods demonstrate the effectiveness of the proposed solution.

关键词： Iris Cameras Robustness Feature extraction Solid modeling Transforms Calibration

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Shift dependency effects on multiresolution-based image fusion performance

Shift dependency effects on multiresolution-based image fusi...

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2nd International workshop on Intelligent Systems and applications, ISA2010

作者： Li, Yu-Feng Feng, Xiao-Yun School of Computer Science and Technology Southwest University of Science and Technology Mianyang China School of Electrical Engineering Southwest Jiaotong University Chengdu China

ISBN: (纸本)9781424458745

Image fusion techniques using multiresolution decomposition have become a hot research area due to it is suitable for multi-scale properties of the human vision system. According to their subsampling method, Multiresolution decompositions can be divided into redundant or non-redundant which corresponds to different shift dependency such as shift-variant or shift-invariant. However, there few studies consider the effects on the fusion performance. This paper investigates shift dependency of various multiresolution-based fusion schemes and analyzes their effects on image fusion by quantitative and qualitative methods. We conduct experiments by combining 8 popular multiresolution decompositions such as pyramid, wavelet and beyond wavelet with two popular fusion rules. By analyzing and comparing the experimental results, we propose the guidance for using multiresolution-based fusion methods. ©2010 ieee.

关键词： Image fusion

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Fused visible and infrared video for use in wilderness search and rescue

Fused visible and infrared video for use in wilderness searc...

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2009 workshop on applications of computer vision, WACV 2009

作者： Rasmussen, Nathan D. Morse, Bryan S. Goodrich, Michael A. Eggett, Dennis Department of Computer Science Brigham Young University United States Department of Statistics Brigham Young University United States

ISBN: (纸本)9781424454976

Mini Unmanned Aerial Vehicles (mUAVs) have the potential to assist Wilderness Search and Rescue groups by providing a bird's eye view of the search area. This paper proposes a method for augmenting visible-spectrum searching with infrared sensing in order to make use of thermal search clues. It details a method for combining the color and heat information from these two modalities into a single fused display to reduce needed screen space for remote field use. To align the video frames for fusion, a method for simultaneously pre-calibrating the intrinsic and extrinsic parameters of the cameras and their mount using a single multi-spectral calibration rig is also presented. A user study conducted to validate the proposed image fusion methods showed no reduction in performance when detecting various objects of interest in this single-screen fused display compared to side-by-side viewing. Most significantly, the users' increased performance on a simultaneous auditory task showed that their cognitive load was reduced when using the fused display. © 2009 ieee.

关键词： Antennas

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Fused visible and infrared video for use in Wilderness Search and Rescue

Fused visible and infrared video for use in Wilderness Searc...

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ieee workshop on applications of computer vision (WACV)

作者： Nathan D. Rasmussen Bryan S. Morse Michael A. Goodrich Dennis Eggett Department of Computer Science Brigham Young University USA Department of Statistics Brigham Young University USA

Mini unmanned aerial vehicles (mUAVs) have the potential to assist wilderness search and rescue groups by providing a bird's eye view of the search area. This paper proposes a method for augmenting visible-spectrum searching with infrared sensing in order to make use of thermal search clues. It details a method for combining the color and heat information from these two modalities into a single fused display to reduce needed screen space for remote field use. To align the video frames for fusion, a method for simultaneously pre-calibrating the intrinsic and extrinsic parameters of the cameras and their mount using a single multi-spectral calibration rig is also presented. A user study conducted to validate the proposed image fusion methods showed no reduction in performance when detecting various objects of interest in this single-screen fused display compared to side-by-side viewing. Most significantly, the users' increased performance on a simultaneous auditory task showed that their cognitive load was reduced when using the fused display.

关键词： Cameras Unmanned aerial vehicles Space heating Calibration Auditory displays Helicopters Aircraft Costs Infrared sensors Water heating

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A cyclostationarity analysis applied to image forensics

A cyclostationarity analysis applied to image forensics

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ieee workshop on applications of computer vision (WACV)

作者： Babak Mahdian Stanislav Saic Institute of Information Theory and Automation AS CR v.v.i. Prague Czech Republic

The processing history of images plays an important role in many fields of digital image processing and computer vision. In this paper, we focus on geometrical transformations and show that images that have undergone such transformations contain hidden cyclostationary features. This makes possible employing the well-developed theory and efficient methods of cyclostationarity for blind analyzing of history of images in respect to geometrical transformations. To verify this, we also propose a cyclostationarity detection method and show how the traces of geometrical transformations in an image can be detected and the specific parameters of the transformation estimated. The method is based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself.

关键词： Image analysis Forensics History Interpolation computer vision Statistics Digital images Signal analysis Signal processing Information analysis

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