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Pyramid structure for DP-based stereo matching algorithm

Pyramid structure for DP-based stereo matching algorithm

引用

International conference on computer Sciences and Convergence Information Technology (ICCIT)

作者： JeongMok Ha Hong Jeong Department of Electrical Engineering POSTECH Pohang South Korea

there has been lots of studies about stereo vision area to get more better depth images. However there are not sufficient amount of researches about stereo matching algorithm using pyramid structure. We proposed some methods to get high quality depth image using Gaussian window matching cost, pyramid structure, and median filtering. these methods shows better results in Pixel Error Rate(PER) and streak noises are quite suppressed.

关键词： Stereo vision Signal processing algorithms Noise Algorithm design and analysis computer vision Minimization Approximation algorithms

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Difference of BiGaussian (DoBG): A new edge detector for well localized edge map generation

Difference of BiGaussian (DoBG): A new edge detector for wel...

引用

International conference on computer Sciences and Convergence Information Technology (ICCIT)

作者： Ehsan Ul Haq Syed Jahanzeb Hussain Pirzada Hyunchul Shin Department of Electronics and Computer Engineering Hanyang University South Korea

Edge map of an image contains a lot of information about objects in the image. that is why edge detection has been widely used in numerous image processing and vision algorithms. Although there has been a lot of research on this topic, however, most of the practically used algorithms, like a Canny edge detector, still lack basic requirement of edge localization. If noise is to be removed by using a low pass filter then edges are blurred. Contrarily, if edges have to be preserved then noise severely corrupts the edge map. In this paper, we have proposed a new method of edge detection, Difference of BiGaussian (DoBG) edge Filter, which simultaneously removes noise from real life images, while generating well localized edges. We have presented detailed analysis of our operator using 1D and 2D signals. Moreover, experimental results on published data sets show the robustness and quality of our detector.

关键词： image edge detection Noise Detectors Low pass filters Filtering algorithms Smoothing methods Algorithm design and analysis

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A robust algorithm for iris localization based on radial symmetry and circular integro differential operator

A robust algorithm for iris localization based on radial sym...

引用

IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Zuhong Zhou Peng Yao Zhenquan Zhuang Jun Li University of Science and Technology Hefei China Department of Computer Vision and Image Processing Institute for Infocomm Research Singapore

Locating an iris is important in an iris recognition system. Previous studies have shown good performance when an iris image is clear. However, if an iris image is occluded by eyelids, eyelashes and reflection, the accuracy and robustness of localization will decrease significantly. this paper proposed a new algorithm to locate an iris in a coarse-to-fine manner: firstly, a modified radial symmetry transform was used to find the possible pupil region; secondly, an enhanced circular integro operator was adopted to obtain the precise iris location. Experimental results on CASIA V3.0 iris database showed that proposed algorithm has a more accurate and robust performance than the previous methods, especially when occlusion of eyelids, eyelashes and reflection occurred. A real-time system was able to be achieved by the coarse-to-fine strategy as well.

关键词： Iris recognition Eyelashes Eyelids Pixel Iris Transforms Robustness

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Real-time sign language gesture recognition using still-image comparison & motion recognition

Real-time sign language gesture recognition using still-imag...

引用

International conference on Industrial and Information Systems, ICIIS

作者： D. Kumarage S. Fernando P. Fernando D. Madushanka R. Samarasinghe Department of Information Technology SLIIT Malabe Sri Lanka

A sign language is a language which uses visually transmitted sign patterns, instead of acoustically conveyed sound patterns, to deliver the meaning. Sign languages are typically constructed by simultaneous combination of hand shapes, orientations and movements of the hands, arms or body, with facial expressions to fluidly express a speaker's thoughts. this paper presents a less costly approach to develop a computer vision based sign language recognition application in real time context with motion recognition. We explore new concepts of breaking down motion gestures to sub components for parallel processing and mapping motion data into static data representations. this concept can be used to identify sign language gestures, without performing computational intensive tasks of each and every frame captured. Moreover, sign language gestures can be evaluated with minimal image processing and map the motion to linear/non-linear equations using functionalities proposed in this paper.

关键词： Cameras Handicapped aids Equations Databases Mathematical model image color analysis Streaming media

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3-D IC design architecture for image understanding

3-D IC design architecture for image understanding

引用

International Microsystems, Packaging, Assembly and Circuits Technology (IMPACT)

作者： Karl Cheng Innotest Inc. Hsinchu Taiwan

image understanding technology has broad application. Especially on Today's LCD display panel and LED lighting device production, it can be applied to test and evaluate the quality of the display panel and lighting products. For the industrial applications such as bin picking, assembly and inspection, image understanding technology can be used to support those applications at real-time rates. Another area of applicability is that of automatic interpretation of aerial or satellite imagery for use in GPS or computer aided cartography. IC design for machine vision and image understanding is one of the most computationally intensive domains of artificial intelligence research. It requires that an interpretation of the changing scene be updated with every new video frame, once every thirtieth of a second. With three quarters of a million color-intensity data values which comprise the picture elements or pixels of the image, performing a single operation on each of these pixels requires an execution rate of about twenty-three million instructions per second for just to keep up with the input. Of course far more than one operation per pixel is necessary. the image understanding is not limited to the data processing in the visible spectrum; it should have more applicable to computer aided systems for image signal processing such as avionics flight control, synthetic array radar and sonar systems etc... the bandwidth requirement of these systems is even higher. In order to achieve these enormous bandwidths a 3-D IC parallel processing design architecture and its algorithm will be discussed. With the advancement of the high density packaging and the level of 3D IC integration technologies available today, it maybe the best approach to achieve these bandwidths by implementing the SIMD (Single Instruction Multiple Data) and the BSWP (Bit Serial Word Parallel) processing technologies into the 3D IC circuitry. the SIMD and the BSWP will be discussed and analyzed as approaches to

关键词： Arrays Integrated circuit interconnections Silicon Cloud computing Bandwidth computers

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A novel fast dehazing algorithm in driver assistance system

A novel fast dehazing algorithm in driver assistance system

引用

IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Che-Chung Lin Yu-Chen Lin Long-Tai Chen Yu-Shiang Fu Weng-Ching Lin Mechanical and Systems Research Laboratories Industrial Technology and Research Institute Hsinchu Taiwan Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Chung Hsing University Taichung Taiwan

this paper proposes a novel fast dehazing method based on dark channel prior. the dark channel prior is the phenomenon about normal outdoor images containing at least one low energy pixel around a block among three channels. It helps roughly estimating the air mediums thickness, which decreases the scene transmission. We propose a variation of optical model whose single atmospheric attenuation coefficient is replaced with three different ones corresponding to each channel. In the past, the big sliding window of dark channel prior for calculating the transmission map inevitably resulted in unacceptable computing burden and has to be narrowed down. However, hue offset will be resulted if the size of sliding window is reduced. Our proposed method eliminates the offset while greatly reducing the processing time. then, a joint bilateral filter which replaces the original matting method is applied as our smooth measure to further refine the estimated transmission maps. Finally, we apply dehazing into driver assistance applications-lane and vehicle recognition. Robust lane recognition provides the information about if the input image to be fed into vehicle recognition should be conducted with dehazing to improve detecting rate.

关键词： Pixel Meteorology Vehicles conferences image color analysis computer vision image recognition

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Outer Surface Reconstruction for 3D Fractured Objects

Outer Surface Reconstruction for 3D Fractured Objects

引用

International conference on computer vision and graphics

作者： Kornev, Anatoly Babout, Laurent Janaszewski, Marcin Talbot, Hugues Tech Univ Lodz Dept Comp Engn 18 Stefanowskiego Str PL-90924 Lodz Poland Univ Paris East Dep Infomat F-93162 Paris France

ISBN: (纸本)9783642159060

We study surface reconstruction using a combination of anisotropic Gaussian filter and image segmentation technique -the minimum surface method. Anisotropic Gaussian filtering allows to manage a contrast between intensities of the discontinuity and the object in a desired direction. the minimum surface method detects properly outer boundaries even affected by boundary leakage in the vicinity of blurred edges. the algorithm is tested on a set of real 3D images of large corrosion cracks in stainless steel that initiated at the surface of the tested samples. Results are presented and discussed.

关键词： CT image Segmentation Gaussian Filtering Minimal Surface

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Retinal vessel segmentation using color image morphology and local binary patterns

Retinal vessel segmentation using color image morphology and...

引用

Iranian conference on Machine vision and image processing

作者： Zabihi, Seyed Mohsen Delgir, Morteza Pourreza, Hamid Reza Computer Engineering Department Ferdowsi University of Mashhad Iran Machine Vision Laboratory Eye Images Analysis Research Group Iran

ISBN: (纸本)9781424497065

In this paper, an automated retinal vessel extraction algorithm is represented. A multi-scale morphological algorithm is used for local contrast enhancement of color retinal image. this method enhances vessels not only in color image, but also in the three color components of that image. After feature extraction using LBP and spatial image processing, MLP as a classifier segments the pixels into vessels and non-vessels. Finally, in post processing step, we used binary morphologies for noise removing and smoothing. the performance of the proposed algorithm is tested on the images of DRIVE database. © 2010 IEEE.

关键词： Local binary pattern

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Real-time fusion of multi-focus images for visual sensor networks

Real-time fusion of multi-focus images for visual sensor net...

引用

Iranian conference on Machine vision and image processing

作者： Haghighat, Mohammad Bagher Akbari Aghagolzadeh, Ali Seyedarabi, Hadi Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

ISBN: (纸本)9781424497065

the objective of image fusion is to combine information from multiple images of the same scene in order to deliver only the useful information. the discrete cosine transform (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT based standards of still image or video. In this paper an efficient approach for fusion of multi-focus images based on variance calculated in DCT domain is presented. the experimental results on several images show the efficiency improvement of our method both in quality and complexity reduction in comparison with several recent proposed techniques. © 2010 IEEE.

关键词： Discrete cosine transforms

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A Method of vision-based State Estimation of an Unmanned Helicopter

A Method of Vision-based State Estimation of an Unmanned Hel...

引用

6th International conference on Wireless Communications, Networking and Mobile Computing (WICOM)

作者： Yuan, Bin Hao, Yingguang Dalian Univ Technol Sch Informat & Commun Engn Dalian Peoples R China

ISBN: (纸本)9781424437092

this paper presents a real-time algorithm of accurately identifying helipad and estimating the state information for landing an unmanned aerial helicopter autonomously via computer vision. the algorithm estimates the instantaneous attitude and position parameters of the helicopter relative to the helipad from continuously tracked points using the optical flow method. the vision system, consisting of a calibrated monocular camera, a helipad and an experiment platform, can perform image processing, helipad recognition, feature extraction, target tracking and motion estimation. the experimental results show that the algorithm is accuracy, robust and fast.

关键词： state estimation computer vision optical flow unmanned aerial helicopter

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