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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Wide dynamic range CMOS image sensor with dual mode operation

Wide dynamic range CMOS image sensor with dual mode operatio...

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Lee, Sanggwon Choi, Byung-Soo Bae, Myunghan Shin, Jang-Kyoo School of Electronics Engineering Kyungpook National University 80 Daehak-ro Buk-gu Daegu41566 Korea Republic of

ISBN: (纸本)1601324421

This paper presents a wide dynamic range complementary metal oxide semiconductor (CMOS) image sensor (CIS) using column capacitors and feedback structure. The prototype sensor is designed and fabricated by using 0.18ìm standard CMOS technology. This sensor is operated under dual mode scheme;an active pixel sensor (APS) mode for normal light condition and a passive pixel sensor (PPS) mode for high light condition. For checking the light conditions, a node capacitance controlled by the reference voltage is added in every column line. By utilizing the proper sensing mode depending on the light conditions, the dynamic range can be adjusted with a linear response. By using the proposed structure, it is possible to store more electric charge, which results in a wider dynamic range. The simulation and measurement results demonstrate the feature of wide dynamic range (WDR). © CSREA Press.

关键词： image sensors

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image fusion using two symmetric exposed images in the JPEG stream

Image fusion using two symmetric exposed images in the JPEG ...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Lee, Geun-Young Lee, Sung-Hak Kwon, Hyuk-Ju Sohng, Kyu-Ik School of Electronics Engineering Kyungpook National University Daegu Korea Republic of

ISBN: (纸本)1601324421

The objective of fusing differently exposed images is to well represent the luminance information of the scene in a single image. In order to fuse multi exposure images, it is necessary to determine overexposed or underexposed areas in each of the captured images using an activity measure which extracts image features. In this paper, we presents image fusion using two symmetric exposed images in the JPEG stream. We find out that the AC coefficients after the quantization in JPEG baseline can describe local image features in the image block. Based on a maximum selection rule, a proposed image fusion is conducted by the comparison of the AC coefficients after the quantization instead of activity measures which need additional computations. This simple method allows multi exposure images to quickly combine a single image in JPEG baseline, therefore, it can be embedded in resource limited imaging platform such as a surveillance system. © CSREA Press.

关键词： image fusion

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Controlling Children-Toy Tank by Using image processing Technique 5

Controlling Children-Toy Tank by Using Image Processing Tech...

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5th ICT international Student Project conference (ICT-ISPC)

作者： Tse, Anaphat Saegnwipharat, Jetnipit Supayanant, Kornkrit Pornpanomchai, Chomtip Mahidol Univ Fac Informat & Commun Technol Nakhon Pathom Thailand

ISBN: (纸本)9781509011254

integrating the knowledge of computer technology with military having a number of benefits on reducing the risk of death during the war. The paper discusses an approach involving digital image processing and embedded system for war simulation by recognition of geometric shape such circles, triangles, rectangles, pentagon, and hexagon with color spectrum to command tank RC via wireless. This approach can be extended to applications such as computer intelligence and robotic vision. The methods involved are color range classification for objects-background separation, internal angle counting for shape recognition, and using of bounding box with extended Java library as openCV. Furthermore, the colors and the shapes of objects are verified by the algorithm to increase the precision rate. We developed a communication between user interface and tank RC by using Arduino boards via radio frequency. As the command which the object is selected as a target, tank RC will moves to reach the target.

关键词： image processing openCV Arduino Shape and Color Detection and Recognition

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A fast texture feature extraction method based on Gabor wavelets

A fast texture feature extraction method based on Gabor wave...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Wang, X.L. Wang, X. Hu, L. School of Information Engineering Changan University Xi’an Shaanxi China School of Software Engineering Xi’an Jiaotong University Xi’an Shaanxi China

ISBN: (纸本)1601324421

With the development of computer vision, robots need to detect target objects from image sequence for autonomous navigation. To identify targets, the perceptual system of autonomous robots first needs to segment the images into nonoverlapping but meaningful regions based on low-level features such as color, texture measures and shapes etc.. Being an important component, Gabor wavelets are often used to extract the texture features due to its being a mathematical approximation to the spatial receptive field of a simple cell in the V1 area of human brain. The problem with these Gabor texture measures is the high computational cost involved in the convolution in the feature extraction process. To partially solve this problem, in this paper, we carefully study the behaviors of the Gabor wavelets used to form the texture features and find out that only a small subset of the filters have important contributions to the identification process. Experimental results show that, by removing redundant filters, better performance can be achieved in a much shorter time. © CSREA Press.

关键词： image segmentation

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A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo 29

A Benchmark Dataset and Evaluation for Non-Lambertian and Un...

引用

2016 IEEE conference on computer vision and Pattern Recognition (CVPR)

作者： Shi, Boxin Wu, Zhe Mo, Zhipeng Duan, Dinglong Yeung, Sai-Kit Tan, Ping AIST Artificial Intelligence Res Ctr Tokyo Japan Singapore Univ Technol & Design Singapore Singapore Natl Univ Singapore Singapore Singapore Simon Fraser Univ Burnaby BC Canada Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9781467388511

Recent progress on photometric stereo extends the technique to deal with general materials and unknown illumination conditions. However, due to the lack of suitable benchmark data with ground truth shapes (normals), quantitative comparison and evaluation is difficult to achieve. In this paper, we first survey and categorize existing methods using a photometric stereo taxonomy emphasizing on non-Lambertian and uncalibrated methods. We then introduce the 'DiLiGenT' photometric stereo image dataset with calibrated Directional Lightings, objects of General reflectance, and 'ground Truth' shapes (normals). Based on our dataset, we quantitatively evaluate state-of-the-art photometric stereo methods for general non-Lambertian materials and unknown lightings to analyze their strengths and limitations.

关键词： Stereo image processing

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image processing Based Leaf Rot Disease, Detection of Betel Vine (Piper BetleL.)

Image Processing Based Leaf Rot Disease, Detection of Betel ...

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international conference on Computational Modelling and Security (CMS)

作者： Dey, Amar Kumar Sharma, Manisha Meshram, M. R. Bhilai Inst Technol Dept Elect & Telecommun Durg 491001 CG India GEC Dept Elect & Telecommun Jagdalpur 494001 CG India

This paper deals with leaf rot disease detection for betel vine (Piper betel L.) based on image processing algorithm. The measurement of plant features is a fundamental element of plant science research and related applications. The information related to plant features is especially useful for its applications in plant growth modeling, agricultural research and on farm production. Few methods have been applied in leaf rot disease detection for betel vine leaf (Piper Betel L.). Traditional direct measurement methods are generally simple and reliable, but they are time consuming, laborious and cumbersome. In contrast, the proposed vision-based methods are efficient in detecting and observing the exterior disease features. In the present investigation, image processing algorithms are developed to detect leaf rot disease by identifying the color featureof the rotted leaf area. Subsequently, the rotted area was segmented and area of rotted leaf portion was deduced from the observed plant feature data. The results showed a promising performance of this automatic vision-based system in practice with easy validation. This paper describes the steps to achieve an efficient and inexpensive system acceptable to the farmers and agricultural researchers as well for studying leaf rot disease in betel vine leaf. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Segmentation Betel vine Digital image processing HVS Thresholding

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The System Design for Improving Vechicle Detection Precision Based on image processing

The System Design for Improving Vechicle Detection Precision...

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international conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Li Congsheng He Zhaoyang Harbin Inst Technol Weihai Weihai 264209 Shandong Peoples R China

ISBN: (纸本)9780769559483

Research on moving vehicle detection based on Video and image processing is a significant research topic in image processing and computer vision, and is also a basic and key work in intelligent traffic system field, which directly affects the follow-on object identification and tracking, analysis and understanding of the traffic scene. In this paper detection of moving vehicles has been studied, analyed and summarized the existing moving object detection technology, an moving vehicle detection system is introduced and designed. In the system the improved frame difference method combined with image contrast enhancement and morphological filter is proposed, which can effectively solve the background difference method and frame difference method can not extract the regions of interest effectively, besides, using a connected region labeling method to fill the voids in the middle of the vehicle image, the target area becomed more complete and clear. Using this kind of system can reduce computation, improve identification speed, and receive better robustness and higher recognition effect to recognize vehicles more efficiently. Therefore the research contents and the system design have the practical significance to the research of vehicle detection technology based on the video.

关键词： ITS Vehicle detection system Frame difference method image processing

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An adaptive detection approach for autonomous forest path following using stereo vision 14

An adaptive detection approach for autonomous forest path fo...

引用

14th international conference on Control, Automation, Robotics and vision, ICARCV 2016

作者： Fleischmann, Patrick Kneip, Johannes Berns, Karsten Robotics Research Lab Department of Computer Science University of Kaiserslautern Kaiserslautern67663 Germany

ISBN: (纸本)9781509035496

In this paper, an image-based segmentation method to improve autonomous robot navigation in the forest is presented. The detection is supported by a filtered image generated from a stereo-based pre-processing which is a byproduct of our obstacles detection system. To cope with the large variability of forest paths, the classifier is dynamically adapted to the current situation and the segmentation relies on different image features to ensure robustness against illumination changes. Furthermore, it is summarized how the detection results are transformed to the 3D space, using a plane which is extracted from the stereo data, to be stored and maintained in a probabilistic grid map. © 2016 IEEE.

关键词： Stereo vision

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Scale-Space Theories in computer vision : Second international conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999 : Proceedings

引用

2016年

作者： mads nielsen

Scale-Space Theories in computer vision : Second international conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999 : Proceedings by Scale-Space'99 (1999 : Kerkyra, Greece); Nielsen, Mads; publishe... 详细信息

关键词： computer computer vision conference, corfu, gaussian processes geometry greece, image processing

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NON-RIGID image REGISTRATION FOR VISIBLE COLOR AND THERMAL IR FACE 5

NON-RIGID IMAGE REGISTRATION FOR VISIBLE COLOR AND THERMAL I...

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5th international conference on Audio, Language and image processing (ICALIP)

作者： Yang, Yang Yunnan Normal Univ Sch Informat Sci & Technol Kunming 650092 Peoples R China Yunnan Normal Univ Minist Educ China Engn Res Ctr GIS Technol Western China Kunming 650092 Peoples R China

ISBN: (纸本)9781509006540

Multi-sensor data fusion between visible sensors and infrared (IR) sensors plays an important role in computer vision and pattern recognition. However, the current methods using single feature based correspondence estimators with a rigid or affine transformation are unable to build accurate alignments when scenes are not planar. In this work, we present a non-rigid image registration method for visible color and thermal IR face. We evaluated the performance of the proposed method on a public database, and compared with state-of-the-art methods where our method shows the best alignments in most scenarios.

关键词： Non-rigid image registration visible color thermal IR face images

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