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Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96最新文献

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Efficient image warping and super-resolution 高效的图像扭曲和超分辨率
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572000
Ming-Chao Chiang, T. Boult
{"title":"Efficient image warping and super-resolution","authors":"Ming-Chao Chiang, T. Boult","doi":"10.1109/ACV.1996.572000","DOIUrl":"https://doi.org/10.1109/ACV.1996.572000","url":null,"abstract":"This paper introduces a new algorithm for enhancing image resolution from an image sequence. The approach we propose herein uses the integrating resampler proposed by M. Chiang and T. Boult (1996) as the underlying resampling algorithm. Moreover, it is a direct method, which is fundamentally different from the iterative, back-projection approaches proposed in previous work. We show that image warping techniques may have a strong impact on the quality of image resolution enhancement. By coupling the degradation model of the imaging system directly into the integrating resampler, we can better approximate the warping characteristics of real sensors, which also highly improve the quality of super-resolution images. Examples of super-resolutions are given for gray-scale images. Evaluations are made by comparing the resulting images and those using bi-linear resampling and back-projection. Results from our experiments show that integrating resampler outperforms traditional bi-linear resampling.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116910184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
Placing observers to cover a polyhedral terrain in polynomial time 在多项式时间内放置观察者以覆盖多面体地形
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572004
M. Marengoni, B. Draper, A. Hanson, R. Sitaraman
{"title":"Placing observers to cover a polyhedral terrain in polynomial time","authors":"M. Marengoni, B. Draper, A. Hanson, R. Sitaraman","doi":"10.1109/ACV.1996.572004","DOIUrl":"https://doi.org/10.1109/ACV.1996.572004","url":null,"abstract":"The Art Gallery Problem is the problem of determining the number of observers necessary to cover an art gallery room such that every point is seen by at least one observer. This problem is well known and has a linear solution for the 2 dimensional case, but little is known in the 3-D case. In this paper we present a polynomial time solution for the 3-D version of the Art Gallery problem. Because the problem is NP-hard, the solution presented is an approximation, and we present the bounds to our solution. Our solution uses techniques from computational geometry, graph coloring and set coverage. A complexity analysis is presented for each step and an analysis of the overall quality of the solution is given.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122911614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
A real-time vision-based 3D motion estimation system for positioning and trajectory following 一种基于实时视觉的定位和轨迹跟踪三维运动估计系统
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572067
S. Negahdaripour, L. Jin, Xun Xu, C. Tsukamoto, J. Yuh
{"title":"A real-time vision-based 3D motion estimation system for positioning and trajectory following","authors":"S. Negahdaripour, L. Jin, Xun Xu, C. Tsukamoto, J. Yuh","doi":"10.1109/ACV.1996.572067","DOIUrl":"https://doi.org/10.1109/ACV.1996.572067","url":null,"abstract":"The authors present a real-time vision-based system for automatic positioning and trajectory following, based on a direct method for 3D motion estimation. The spatio-temporal derivatives of the image function, calculated from time-varying imagery, are used to directly calculate the motion and position of the camera. For demonstration, they have implemented the system on a one-degree-of freedom thruster operating in a laboratory water tank. The estimated position information is communicated to the control system, a PID controller, in order to generate the appropriate signal to correct the thruster system's position. The performance of the vision system is demonstrated in selected experiments by comparing results with the data from an optical encoder position sensor.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115589979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
An automated visual inspection of solder joints using 2D and 3D features 使用2D和3D特征对焊点进行自动视觉检查
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572013
Tae-Hyeon Kim, Tai-Hoon Cho, Y. Moon, Sung-Han Park
{"title":"An automated visual inspection of solder joints using 2D and 3D features","authors":"Tae-Hyeon Kim, Tai-Hoon Cho, Y. Moon, Sung-Han Park","doi":"10.1109/ACV.1996.572013","DOIUrl":"https://doi.org/10.1109/ACV.1996.572013","url":null,"abstract":"In this paper, efficient techniques for solder joint inspection have been described. Using three layers of ring shaped LED's with different illumination angles, three frames of images are sequentially obtained. From these images the regions of interest (soldered regions) are segmented, and their characteristic features including the average gray level and the percentage of highlights-referred to as 2D features-are extracted. Based on the backpropagation algorithm of neural networks, each solder joint is classified into one of the pre-defined types. If the output value is not in the confidence interval, the distribution of tilt angles-referred to as 3D features-is calculated, and the solder joint is classified based on the Bayes classifier. The second classifier requires more computation while providing more information and better performance. The proposed inspection system has been implemented and tested with various types of solder joints in SMDs. The experimental results have verified the validity of this scheme in terms of speed and recognition rate.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Object recognition using multiple view invariance based on complex features 基于复杂特征的多视图不变性目标识别
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572017
Y. Kuno, Osamu Takae, Takuya Takahashi, Y. Shirai
{"title":"Object recognition using multiple view invariance based on complex features","authors":"Y. Kuno, Osamu Takae, Takuya Takahashi, Y. Shirai","doi":"10.1109/ACV.1996.572017","DOIUrl":"https://doi.org/10.1109/ACV.1996.572017","url":null,"abstract":"Geometric invariants from multiple views provide useful information for 3D object recognition. However, conventional object recognition methods using invariants based on point features cannot achieve efficient recognition because of large amount of combinations of point features in invariant calculation. To avoid this problem, the authors propose to use more complex features. They adopt arrow junctions and conics as complex features because man-made objects have often trihedral polyhedra (eg. parallelepiped) and circles and they make arrow junctions and conics in images, respectively. The multiple view affine invariance theory can be directly used for arrow junctions. For conics, they propose two types of invariants. They have developed an object recognition method exploiting these invariants. In addition to the recognition method with two input images, they propose a recognition method that needs only a single input image by substituting an image of a target object stored in the model library. Experimental results using 240 pair of images for 24 objects confirm the usefulness of the methods.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121927759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A system for detection of internal log defects by computer analysis of axial CT images 一种利用计算机分析轴向CT图像检测原木内部缺陷的系统
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572064
S. Bhandarkar, T. D. Faust, Mengjin Tang
{"title":"A system for detection of internal log defects by computer analysis of axial CT images","authors":"S. Bhandarkar, T. D. Faust, Mengjin Tang","doi":"10.1109/ACV.1996.572064","DOIUrl":"https://doi.org/10.1109/ACV.1996.572064","url":null,"abstract":"The paper presents a system for detection of some important internal log defects via analysis of axial CT images. Two major procedures are used. The first is the segmentation of a single computer tomography (CT) image slice which extracts defect-like regions from the image slice, the second is correlation analysis of the defect-like regions across CT image slices. The segmentation algorithm for a single CT image is basically a complex form of multiple thresholding that exploits both the prior knowledge of wood structure and gray value characteristics of the image. The defect-like region extraction algorithm first locates the pith, groups the pixels in the segmented image on the basis of their connectivity and classifies each region as either a defect-like region or a defect-free region using shape, orientation and morphological features. Each defect-like region is classified as a defect or non-defect via correlation analysis across corresponding defect-like regions in neighboring CT image slices.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
Analysis of moire patterns in non-uniformly sampled halftones 非均匀取样半色调中云纹图案的分析
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572057
Xiangdong Liu, R. Ehrich
{"title":"Analysis of moire patterns in non-uniformly sampled halftones","authors":"Xiangdong Liu, R. Ehrich","doi":"10.1109/ACV.1996.572057","DOIUrl":"https://doi.org/10.1109/ACV.1996.572057","url":null,"abstract":"We analyze the moire patterns in halftone images scanned by a popular commercial scanner. We show that the non uniform sampling scheme employed by the scanner introduces extra aliasing components compared to uniform sampling and thus complicates the moire patterns formed. The analysis applies to other scanners that employ non uniform sampling. We also suggest methods for suppressing the moire patterns in scanned halftones.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123018323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Mosaic image generation on a flattened Gaussian sphere 在平面化高斯球上生成马赛克图像
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.571998
S. Gümüstekin, R. W. Hall
{"title":"Mosaic image generation on a flattened Gaussian sphere","authors":"S. Gümüstekin, R. W. Hall","doi":"10.1109/ACV.1996.571998","DOIUrl":"https://doi.org/10.1109/ACV.1996.571998","url":null,"abstract":"Mosaicing of images is the task of fusing a collection of images with smaller fields of view to obtain an image with a larger field of view. In order to accomplish this task, images should be geometrically and radiometrically corrected. We propose a new approach for perspective correction, useful when smaller images are gathered by rotating a camera with a fixed position. These images are projected onto a Gaussian sphere centered at the focal point of the camera which is later flattened on a plane tangent to the sphere. Using this procedure a field of view of up to 360/spl deg/ can be obtained on a mosaic image. We illustrate the geometric correction capability of our procedure (including more traditional gray level modification and seam elimination techniques) on outdoor scene images that partly overlap with each other.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120963920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
Choreographed scope manoeuvring in robotically-assisted laparoscopy with active vision guidance 具有主动视觉引导的机器人辅助腹腔镜手术中精心设计的范围操纵
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572054
Yuan-fang Wang, D. Uecker, Yulun Wang
{"title":"Choreographed scope manoeuvring in robotically-assisted laparoscopy with active vision guidance","authors":"Yuan-fang Wang, D. Uecker, Yulun Wang","doi":"10.1109/ACV.1996.572054","DOIUrl":"https://doi.org/10.1109/ACV.1996.572054","url":null,"abstract":"This paper presents our research at bringing the state-of-the-art in vision and robotics technologies to enhance the emerging laparoscopic surgical procedure. In particular, a framework utilizing intelligent visual modeling, recognition, and serving capabilities for assisting the surgeon in manoeuvring the scope (camera) in laparoscopy is proposed. The proposed framework integrates top-down model guidance, bottom-up image analysis, and surgeon-in-the-loop monitoring for added patient safety. For the top-down directives, high-level models are used to represent the abdominal anatomy and to encode choreographed scope movement sequences based on the surgeon's knowledge. For the bottom-up analysis, vision algorithms are designed for image analysis, modeling, and matching in a flexible, deformable environment (the abdominal cavity). For reconciling the top-down and bottom-up activities, robot serving mechanisms are realized for executing choreographed scope movements with active vision guidance.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"207 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114001727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
Detection of obstacles on runway using ego-motion compensation and tracking of significant features 基于自我运动补偿和显著特征跟踪的跑道障碍物检测
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572048
T. Gandhi, S. Devadiga, R. Kasturi, O. Camps
{"title":"Detection of obstacles on runway using ego-motion compensation and tracking of significant features","authors":"T. Gandhi, S. Devadiga, R. Kasturi, O. Camps","doi":"10.1109/ACV.1996.572048","DOIUrl":"https://doi.org/10.1109/ACV.1996.572048","url":null,"abstract":"The paper proposes a method for obstacle detection on a runway for autonomous navigation and landing of an aircraft. Detection is done in the presence of extraneous features such as tire marks. Suitable features are extracted from the image and warping using approximately known camera and plane parameters is performed in order to compensate ego-motion as far as possible. Residual disparity after warping is estimated using an optical flow algorithm. Features are tracked from frame to frame so as to obtain more reliable estimates of their motion. Corrections are made to motion parameters with the residual disparities using a robust method, and features having large residual disparities are signalled as obstacles. Sensitivity analysis of the procedure is also studied. A Bayesian framework is used at every stage so that the confidence in the estimates can be determined.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121267183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
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