Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation最新文献_第2页

Recognition of flexible objects 柔性物体的识别

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336677

R. Carlson

引用次数: 1

Shape feature extraction from object corners 从物体角点提取形状特征

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336665

K. K. Rao, R. Krishnan

{"title":"Shape feature extraction from object corners","authors":"K. K. Rao, R. Krishnan","doi":"10.1109/IAI.1994.336665","DOIUrl":"https://doi.org/10.1109/IAI.1994.336665","url":null,"abstract":"A method to extract shape features based on corners is described. Corners contain most of the shape information. Extraction of shape features which are invariant to scaling, rotation and translation is an important problem in computer vision and automatic target recognition systems. A Canny (1986) edge detector which is capable of producing single pixel wide edges is used for obtaining the contour from an image. Using this closed contour as input, the arch height function is computed at each point. The local maxima's correspond to the corner points in the shape. A set of efficient one dimensional moments which are invariant under rotation, translation and scale change is computed. These are the corresponding shape features. Classification is achieved by comparing the extracted features with the shape feature library. In order to validate the concept the following experiments were performed. Ten dissimilar aircrafts and ten similar aircrafts were used as inputs. Contour based moments performed better than the geometric moments in both the data sets. Rotation invariance of two very similar aircrafts showed that contour based moments performed better. The procedure described provides an elegant approach for extracting shape features. These features can also be used as inputs for training and recognizing shapes using neural networks.<<ETX>>","PeriodicalId":438137,"journal":{"name":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121437390","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

Head/eye calibration of a binocular head by use of single calibration point 使用单一校正点校正双眼头/眼

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336666

S. Shih, Y. Hung, Wei-Song Lin

{"title":"Head/eye calibration of a binocular head by use of single calibration point","authors":"S. Shih, Y. Hung, Wei-Song Lin","doi":"10.1109/IAI.1994.336666","DOIUrl":"https://doi.org/10.1109/IAI.1994.336666","url":null,"abstract":"The authors propose a new method for calibrating the head-to-eye relation of a binocular head with very high accuracy. This method consists of a closed-form solution for initial estimation and an iteration procedure for accuracy refinement. The closed-form solution is already quite accurate (more accurate than the existing method) when the number of calibration input data is large enough or when the amount of measurement noise is small. Using the closed-form solution as an initial estimate, the iterative method can be adopted to further improve the calibration accuracy. Instead of using the estimates of some transformation matrices as the calibration input data, which is needed in almost all the existing techniques, the proposed method needs only to measure the 3D coordinates of a single calibration point. This avoids the difficulty in finding a reliable extrinsic camera calibration technique. Also, during the calibration, the binocular head can be moved in a larger range while keeping the single calibration point in the viewfield of the camera, which in turn provides richer information for the head/eye calibration. According to their experiments, the proposed method achieved much higher accuracy than the existing techniques.<<ETX>>","PeriodicalId":438137,"journal":{"name":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130732529","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: 3

Image-modeling Gibbs distributions for Bayesian restoration 用于贝叶斯恢复的图像建模Gibbs分布

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336691

M. Chan, E. Levitan, G. Herman

{"title":"Image-modeling Gibbs distributions for Bayesian restoration","authors":"M. Chan, E. Levitan, G. Herman","doi":"10.1109/IAI.1994.336691","DOIUrl":"https://doi.org/10.1109/IAI.1994.336691","url":null,"abstract":"Gibbs distributions have been widely used in the Bayesian approach to many image processing problems. However, little attention has been paid to whether or not the Gibbs distribution indeed models the images that occur in the particular area of application. Indeed, random samples from many of the proposed Gibbs distributions are likely to be uniformly smooth, and thus atypical for any application area. The authors investigate the possibility of finding Gibbs distributions which truly model certain global properties of images. Specifically, they construct a Gibbs distribution which models an image that consist of piecewise homogeneous regions by including different orders of neighbor interactions. By sampling the Gibbs distribution which arises from the model, they obtain images with piecewise homogeneous regions resembling the global features of the image that they intend to model; hence such a Gibbs distribution is indeed \"image-modeling\". They assess the adequacy of their model using a /spl chisup 2/ goodness-of-fit test. They also address how parameters are selected based on given image data. Importantly, the most essential parameter of the image model (related to the regularization parameter) is estimated in the process of constructing the image model. Comparative results are presented of the outcome of using their model and an alternative model as the prior in some image restoration problems in which noisy synthetic images were considered.<<ETX>>","PeriodicalId":438137,"journal":{"name":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106042","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: 11

Stereo vision using Gabor wavelets 基于Gabor小波的立体视觉

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336690

Tieh-Yuh Chen, W.N. Klarquist, A. Bovik

引用次数: 5

Contrast enhancement for mailpiece images 增强邮件图像的对比度

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336680

G. Srikantan, R. Fenrich, S. Srihari

引用次数: 0

Hand written digit recognition using BKS combination of neural network classifiers 手写体数字识别使用BKS组合神经网络分类器

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336676

A. Khotanzad, C. Chung

引用次数: 10

Analysis of texture images using robust fractal description 纹理图像的鲁棒分形分析

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336692

N. Avadhanam, S. Mitra

引用次数: 3

A nonlinear algorithm for critical point detection 一种非线性临界点检测算法

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336687

Peng Fei Zhu, P. Chirlian

引用次数: 0

New morphological operators: BERD and BDRE 新的形态操作符:BERD和BDRE

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI: 10.1109/IAI.1994.336674

A. Kher, S. Mitra

引用次数: 1