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2008 IEEE Southwest Symposium on Image Analysis and Interpretation最新文献

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Predicting the Perceived Interest of Object in Images 预测图像中物体的感知兴趣
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2009-09-01 DOI: 10.1109/ssiai.2008.4512304
S. Pinneli, D. Chandler
{"title":"Predicting the Perceived Interest of Object in Images","authors":"S. Pinneli, D. Chandler","doi":"10.1109/ssiai.2008.4512304","DOIUrl":"https://doi.org/10.1109/ssiai.2008.4512304","url":null,"abstract":"This paper presents the results of a psychophysical experiment and an associated algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subjects rated the perceived visual interest of each of 408 objects in 100 images. These results were then used to determine the likelihood of interest given various factors such as size, location, contrast, color, and edge-strength. The resulting likelihood functions are used as part of a Bayesian formulation in which perceived interest is inferred based on these factors. Results demonstrate that our algorithm can perform well in predicting perceived interest.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387249","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: 2
Foveated Object Recognition Using Corners 使用角点的注视点对象识别
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512283
T. Arnow, A. Bovik
{"title":"Foveated Object Recognition Using Corners","authors":"T. Arnow, A. Bovik","doi":"10.1109/SSIAI.2008.4512283","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512283","url":null,"abstract":"We present a gray scale object recognition system that is based on foveated corner finding and that uses elements of Lowe's SIFT algorithm. The principles behind the algorithm are the use of high-information gray-scale corners as features, and an efficient corner- finding strategy to find them. The system is tested on a set of tool and airplane images and shown to perform well.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124370089","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: 4
An Analysis of Sphere Tessellations for Pose Estimation of 3-D Objects Using Spherically Correlated Images 基于球面相关图像的三维目标姿态估计的球面镶嵌分析
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512280
R. Hoover, A. A. Maciejewski, R. Roberts
{"title":"An Analysis of Sphere Tessellations for Pose Estimation of 3-D Objects Using Spherically Correlated Images","authors":"R. Hoover, A. A. Maciejewski, R. Roberts","doi":"10.1109/SSIAI.2008.4512280","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512280","url":null,"abstract":"Eigendecomposition is a common technique used for pose detection of three-dimensional (3-D) objects from two- dimensional (2-D) images. It has been shown in previous work that the eigendecomposition can be estimated using spherical sampling in conjunction with the Spherical Harmonic Transform. The issue then becomes deciding on the best tessellation of the sphere to define the sampling pattern. In this paper we evaluate three popular tessellations and compare and contrast their computational performance, as well as their estimation accuracy for the eigendecomposition of this spherical data set.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129261146","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
Matching and Retrieval of Tattoo Images: Active Contour CBIR and Glocal Image Features 纹身图像的匹配与检索:主动轮廓CBIR和全局局部图像特征
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512275
S. Acton, A. Rossi
{"title":"Matching and Retrieval of Tattoo Images: Active Contour CBIR and Glocal Image Features","authors":"S. Acton, A. Rossi","doi":"10.1109/SSIAI.2008.4512275","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512275","url":null,"abstract":"Tattoos provide an important source of biometric information, particularly in gang-related criminal activity. The goal of this paper is the formation of an image analysis tool to match tattoos and to retrieve similar tattoos from a tattoo database. First, an existing content based image retrieval (CBIR) approach for tattoos is reviewed. Then, a new active contour CBIR approach is detailed. This method incorporates vector field convolution active contours for tattoo segmentation, Haar wavelet decomposition for texture analysis, hue-saturation-value histograms for color representation and Fourier shape descriptors for shape characterization. Finally, the glocal (global-local) image feature approach is introduced. Results are provided for two datasets that include both recreational and prison/gang tattoos.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125951392","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: 36
Shape's Related 3D Objects Indexing and Image Database Organization 形状相关的三维对象索引和图像数据库组织
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512281
N. Sirakov
{"title":"Shape's Related 3D Objects Indexing and Image Database Organization","authors":"N. Sirakov","doi":"10.1109/SSIAI.2008.4512281","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512281","url":null,"abstract":"The present paper considers the 3D shape as a sequence of 2D sections cut from the object. A part of the 2D sections (shapes) is essential for the 3D shape and the others are similar to the essential. Therefore a 3D object could be indexed through a sequence of 2D shapes, each of them coded by a numerical sequence with 4 parts. The 1st one describes the convex hull. The 2nd shows the number of 3rd and 4th level concavities. The 3rd and 4th parts are finite numerical sequences, describing the support of the convex set of the 2nd level concavity and the support of the 2nd level concavity. To comply with the sequence concept the image database is designed as a tree. The maximum number of leafs, the calculation complexity of the retrieval, and a comparison with methods close to the present one are given at the end of the paper.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128196510","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: 1
Stereo-based Free Space Computation in Complex Traffic Scenarios 复杂交通场景下基于立体的自由空间计算
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512317
H. Badino, R. Mester, T. Vaudrey, U. Franke
{"title":"Stereo-based Free Space Computation in Complex Traffic Scenarios","authors":"H. Badino, R. Mester, T. Vaudrey, U. Franke","doi":"10.1109/SSIAI.2008.4512317","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512317","url":null,"abstract":"This paper presents a method for the computation of free space in complex traffic scenarios. Dynamic depth information is estimated by integrating stereo disparity images over time. Disparity and disparity speed are computed pixel-wise with Kalman filters. The stereo information is used to compute stochastic occupancy grids. Dynamic programming on a polar-like occupancy grid yields the free space. An analysis of the calculated free space allows the detection of the available free corridor in front of the 'ego-vehicle'. The method runs at a frame rate of 20 Hz in our demonstrator vehicle.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885588","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
Integral Image Optimizations for Embedded Vision Applications 嵌入式视觉应用的集成图像优化
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512315
B. Kisačanin
{"title":"Integral Image Optimizations for Embedded Vision Applications","authors":"B. Kisačanin","doi":"10.1109/SSIAI.2008.4512315","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512315","url":null,"abstract":"This paper illustrates the importance of both algorithmic and embedded software techniques for an optimal embedded implementation of an image analysis and computer vision function: the integral image. A naive, straightforward implementation of the integral image on an embedded processor will likely produce an unacceptable execution time. However, by applying recursion and double buffering, one can improve execution time by several orders of magnitude. We compare execution times and memory utilization for each of the optimization techniques applied. These techniques can also be applied to implement other computer vision functions on programmable processor architectures.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544636","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: 22
Real-time Face-based Auto-Focus for Digital Still and Cell-Phone Cameras 用于数码相机和手机相机的实时面部自动对焦
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512314
M. Rahman, M. Gamadia, N. Kehtarnavaz
{"title":"Real-time Face-based Auto-Focus for Digital Still and Cell-Phone Cameras","authors":"M. Rahman, M. Gamadia, N. Kehtarnavaz","doi":"10.1109/SSIAI.2008.4512314","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512314","url":null,"abstract":"Auto-focus (AF) is a common feature in consumer level digital and cell-phone cameras. Face-based AF, or AF based on face detection, has become of interest due to the fact that the majority of pictures captured by consumers are of human faces. While many face detection algorithms exist in the literature, very few of them are actually suitable for real-time deployment on resource limited digital or cell-phone camera processors. In this paper, a face-detection algorithm combining a Gaussian skin color model with a computationally efficient sub-block postprocessing scheme is introduced to address the realtime constraints encountered in digital and cellphone cameras. This approach has been implemented in conjunction with our previously developed rule- based AF method in order to achieve real-time faced- based AF on the Texas Instruments programmable TMS320DM350 digital camera processor.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211389","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
Modeling and Compensation of Ghosting in Multispectral Filter Wheel Cameras 多光谱滤光轮相机的重影建模与补偿
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512291
J. Brauers, T. Aach
{"title":"Modeling and Compensation of Ghosting in Multispectral Filter Wheel Cameras","authors":"J. Brauers, T. Aach","doi":"10.1109/SSIAI.2008.4512291","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512291","url":null,"abstract":"Multispectral filter wheel cameras divide the visible electromagnetic spectrum by using several optical bandpass filters mounted on a filter wheel and acquire one color component for each filter wheel position. Afterwards, the single images are combined into one multispectral image. While the color accuracy of this approach and the stop-band attenuation of the bandpass filters is superior to other technologies, ghosting images are produced by reflections between the image sensor and the filter surface: The original image is duplicated in a displaced, weaker and softened form and added to the original image, thus compromising the original. We analyze the path of rays in this specific optical setup and derive a physical model for the ghosting reflections. By linking the physical model to the image content, we derive a calibration and compensation algorithm, whose parameters are estimated from a test image. Application of our correction algorithm makes the ghosting virtually vanish.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114819094","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
Passive Polarimetric Imagery Based Material Classification For Remote Sensing Applications 基于被动极化成像的遥感材料分类
2008 IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2008-03-24 DOI: 10.1109/SSIAI.2008.4512308
Vimal Thilak, C. Creusere, D. Voelz
{"title":"Passive Polarimetric Imagery Based Material Classification For Remote Sensing Applications","authors":"Vimal Thilak, C. Creusere, D. Voelz","doi":"10.1109/SSIAI.2008.4512308","DOIUrl":"https://doi.org/10.1109/SSIAI.2008.4512308","url":null,"abstract":"Passive imaging polarimetry has emerged as a useful tool in many remote sensing applications including material classification, target detection and shape extraction. In this paper we present a method to classify specular objects based on their material composition from passive polarimetric imagery. The proposed algorithm is built on an iterative, model-based method to recover the complex index of refraction of a specular target from multiple polarization measurements. The recovered parameters are then used to discriminate between objects by employing the nearest neighbor rule. Experimental results indicate that the classification approach is highly effective for distinguishing between various targets of interest. Most significantly, the proposed classification method is robust to a wide range of observational geometry.","PeriodicalId":371804,"journal":{"name":"2008 IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122014095","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
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