Proceedings Fifth IEEE Workshop on Applications of Computer Vision最新文献_第2页

Real-time visually guided human figure control using IK-based motion synthesis 使用基于ik的运动合成的实时视觉引导人体图形控制

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895422

S. Yonemoto, Daisaku Arita, R. Taniguchi

引用次数: 6

Modeling 3-D complex buildings with user assistance 在用户协助下对三维复杂建筑进行建模

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895419

S. Lee, A. Huertas, R. Nevatia

引用次数: 21

An agent network for microburst detection 微突发检测的代理网络

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895409

S. Dance

引用次数: 1

Creating 3D models with uncalibrated cameras 使用未校准的相机创建3D模型

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895420

Mei Han, T. Kanade

引用次数: 60

A robust background subtraction method for changing background 一种适应背景变化的鲁棒背景减法

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895424

M. Seki, H. Fujiwara, K. Sumi

引用次数: 99

Synthesized virtual view-based eigenspace for face recognition 基于虚拟视图的人脸特征空间综合识别

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895407

Jie Yan, HongJiang Zhang

引用次数: 9

A flexible eyetracker for psychological applications 用于心理应用的灵活眼动仪

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895423

D. DeVault, A. H. Bond

{"title":"A flexible eyetracker for psychological applications","authors":"D. DeVault, A. H. Bond","doi":"10.1109/WACV.2000.895423","DOIUrl":"https://doi.org/10.1109/WACV.2000.895423","url":null,"abstract":"We describe a practical method for measuring eye movements during psychological tests. This is an important class of applications including clinical evaluations and marketing studies. Existing methods in common use for psychological measurement, for example infrared reflection methods, are invasive involving head stabilization and special purpose lighting. In our experiments, we need to observe subjects for long periods, on the order of one hour. In addition, subjects must verbalize, which makes it difficult to stabilize their heads relative to the camera. We track the head using a lightweight spectacle framework worn by the subject. It has a set of easily visible colored balls. We segment each image into four characteristic colors, corresponding to iris, yellow ball, red ball, and background, which are obtained by sampling the images for each subject. The classification into colors is done by training a simple neural network for each characteristic color. We match a template to color-reduced image regions to find the balls and the two irises. We use a model-based object pose method, which uses a prior measurement of the relative positions of the balls, to calculate the spectacle framework pose (the head pose). A linear method is used for calibrating gaze position against head pose and iris positions. The subject's gaze position can be traded reliably for periods of more than an hour. The locations of image features are found with an accuracy of approximately one pixel of the image. In a 640/spl times/480 image of the whole face, the eyes are each about 80 pixels across. This gives a corresponding accuracy of calculated eye gaze position on a 17 inch monitor of about 1 cm horizontally and 2 cm vertically. This method has shown itself in practice to be very flexible for psychological measurement, giving sufficient accuracy and being noninvasive.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127550797","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

Detection of side-view faces in color images 彩色图像中侧视人脸的检测

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895406

Gang Wei, Dongge Li, I. Sethi

{"title":"Detection of side-view faces in color images","authors":"Gang Wei, Dongge Li, I. Sethi","doi":"10.1109/WACV.2000.895406","DOIUrl":"https://doi.org/10.1109/WACV.2000.895406","url":null,"abstract":"A coarse-to-fine scheme for the detection of sideview faces in color images is proposed in this paper, which extends the current state of the art of face detection research. The input image can be of complex scene, containing cluttered background and confusing objects. The system consists of four stages, each of which is a refinement of the previous one, namely: (1) skin-tone detection by color, (2) region and edge preprocessing with morphological operations and length filtering, (3) face candidate region selection based on normalized similarity value and (4) final verification using hidden Markov models. Encouraging experimental results have been obtained, due to the utilization of multiple features of the input image and the conjunction of employment of various image processing and pattern recognition techniques. Besides providing the ability to detect faces other than frontal-view, our work has 3 original contributions, including the Normalized Similarity Value (NSV) to detect the presence of a given curve pattern, the iterative partition process to segment the object from confusing extraneous regions for higher detection accuracy and the exploration of the use of HMM to recognize objects in images.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969985","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

Multimodal image registration using local frequency 局部频率多模态图像配准

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895412

Jonathan Liu, B. Vemuri, F. Bova

{"title":"Multimodal image registration using local frequency","authors":"Jonathan Liu, B. Vemuri, F. Bova","doi":"10.1109/WACV.2000.895412","DOIUrl":"https://doi.org/10.1109/WACV.2000.895412","url":null,"abstract":"Fusing of multi-modal data involves automatically estimating the coordinate transformation required to align the multi-modal image data sets. Most existing methods in literature are not fast enough (take hours for estimating nonrigid deformations) for practical use. We propose a very fast algorithm, based on matching local-frequency image representations, which naturally allows for processing the data at different scales/resolutions, a very desirable property from a computational efficiency view point. This algorithm involves minimizing-over all affine transformations-the expectation of the squared difference between the local-frequency representations of the source and target images. In cases where fusing the multi-modal data requires estimating the non-rigid deformations, we propose a novel and fast PDE-based morphing technique that will estimate this non-rigid alignment. We present implementation results for synthesized and real misalignments between CT and MR brain scans. In both the cases, we validate our results against ground truth registrations which for the former case are known and for the latter are obtained from manual registration performed by an expert.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693074","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

Assessing the authorship confidence of handwritten items 评估手写物品的作者信心

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895401

Sung-Hyuk Cha, S. Srihari

引用次数: 24