Pub Date : 1995-10-01DOI: 10.1109/TPAMI.1995.10006
PanjwaniDileep Kumar, HealeyGlenn
We present an unsupervised segmentation algorithm which uses Markov random field models for color textures. These models characterize a texture in terms of spatial interaction within each color pla...
{"title":"Correction to 'Markov Random Field Models for Unsupervised Segmentation of Textured Color Images'","authors":"PanjwaniDileep Kumar, HealeyGlenn","doi":"10.1109/TPAMI.1995.10006","DOIUrl":"https://doi.org/10.1109/TPAMI.1995.10006","url":null,"abstract":"We present an unsupervised segmentation algorithm which uses Markov random field models for color textures. These models characterize a texture in terms of spatial interaction within each color pla...","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"31 1","pages":"1128"},"PeriodicalIF":0.0,"publicationDate":"1995-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90211121","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}
Pub Date : 1995-09-01DOI: 10.1109/TPAMI.1995.10005
E. Grosso, M. Tistarelli
Visual navigation is a challenging issue in automated robot control. In many robot applications, like object manipulation in hazardous environments or autonomous locomotion, it is necessary to automatically detect and avoid obstacles while planning a safe trajectory. In this context the detection of corridors of free space along the robot trajectory is a very important capability which requires nontrivial visual processing. In most cases it is possible to take advantage of the active control of the cameras. In this paper we propose a cooperative schema in which motion and stereo vision are used to infer scene structure and determine free space areas. Binocular disparity, computed on several stereo images over time, is combined with optical flow from the same sequence to obtain a relative-depth map of the scene. Both the time to impact and depth scaled by the distance of the camera from the fixation point in space are considered as good, relative measurements which are based on the viewer, but centered on the environment. The need for calibrated parameters is considerably reduced by using an active control strategy. The cameras track a point in space independently of the robot motion and the full rotation of the head, which includes the unknown robot motion, is derived from binocular image data. The feasibility of the approach in real robotic applications is demonstrated by several experiments performed on real image data acquired from an autonomous vehicle and a prototype camera head. >
{"title":"Active/Dynamic Stereo Vision","authors":"E. Grosso, M. Tistarelli","doi":"10.1109/TPAMI.1995.10005","DOIUrl":"https://doi.org/10.1109/TPAMI.1995.10005","url":null,"abstract":"Visual navigation is a challenging issue in automated robot control. In many robot applications, like object manipulation in hazardous environments or autonomous locomotion, it is necessary to automatically detect and avoid obstacles while planning a safe trajectory. In this context the detection of corridors of free space along the robot trajectory is a very important capability which requires nontrivial visual processing. In most cases it is possible to take advantage of the active control of the cameras. In this paper we propose a cooperative schema in which motion and stereo vision are used to infer scene structure and determine free space areas. Binocular disparity, computed on several stereo images over time, is combined with optical flow from the same sequence to obtain a relative-depth map of the scene. Both the time to impact and depth scaled by the distance of the camera from the fixation point in space are considered as good, relative measurements which are based on the viewer, but centered on the environment. The need for calibrated parameters is considerably reduced by using an active control strategy. The cameras track a point in space independently of the robot motion and the full rotation of the head, which includes the unknown robot motion, is derived from binocular image data. The feasibility of the approach in real robotic applications is demonstrated by several experiments performed on real image data acquired from an autonomous vehicle and a prototype camera head. >","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"83 1","pages":"868-879"},"PeriodicalIF":0.0,"publicationDate":"1995-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86516304","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}
Pub Date : 1995-06-01DOI: 10.1109/TPAMI.1995.10004
Ø. Trier, T. Taxt
{"title":"Correction to 'Evaluation of Binarization Methods for Document Images'","authors":"Ø. Trier, T. Taxt","doi":"10.1109/TPAMI.1995.10004","DOIUrl":"https://doi.org/10.1109/TPAMI.1995.10004","url":null,"abstract":"","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"1 1","pages":"640"},"PeriodicalIF":0.0,"publicationDate":"1995-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82832209","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}
Pub Date : 1995-03-01DOI: 10.1109/TPAMI.1996.10003
GeigerDavi, GuptaAlok, A. CostaLuiz, VlontzosJohn
The problem of segmenting an image into separate regions and tracking them over time is one of the most significant problems in vision. Terzopoulos et al have proposed an approach to detect the con...
{"title":"Correction to \"Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours\"","authors":"GeigerDavi, GuptaAlok, A. CostaLuiz, VlontzosJohn","doi":"10.1109/TPAMI.1996.10003","DOIUrl":"https://doi.org/10.1109/TPAMI.1996.10003","url":null,"abstract":"The problem of segmenting an image into separate regions and tracking them over time is one of the most significant problems in vision. Terzopoulos et al have proposed an approach to detect the con...","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"40 1","pages":"575"},"PeriodicalIF":0.0,"publicationDate":"1995-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73254745","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}
Pub Date : 1995-01-01DOI: 10.1109/TPAMI.1995.10001
{"title":"Correction to 'Analysis Of Camera Movement Errors In Vision-Based Vehicle Tracking'","authors":"","doi":"10.1109/TPAMI.1995.10001","DOIUrl":"https://doi.org/10.1109/TPAMI.1995.10001","url":null,"abstract":"","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"24 1","pages":"224"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73392165","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}
Pub Date : 1994-09-01DOI: 10.1109/TPAMI.1994.10002
B. Bhanu, T. Poggio
{"title":"Introduction to the Special Section on Learning in Computer Vision","authors":"B. Bhanu, T. Poggio","doi":"10.1109/TPAMI.1994.10002","DOIUrl":"https://doi.org/10.1109/TPAMI.1994.10002","url":null,"abstract":"","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"17 1","pages":"865"},"PeriodicalIF":0.0,"publicationDate":"1994-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75537648","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}
Pub Date : 1993-06-01DOI: 10.1109/TPAMI.1993.10002
Thomas S. Huang, P. Stucki
{"title":"Introduction to the Special Section on 3-D Modeling in Image Analysis","authors":"Thomas S. Huang, P. Stucki","doi":"10.1109/TPAMI.1993.10002","DOIUrl":"https://doi.org/10.1109/TPAMI.1993.10002","url":null,"abstract":"","PeriodicalId":13207,"journal":{"name":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"26 1","pages":"529-530"},"PeriodicalIF":0.0,"publicationDate":"1993-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78001876","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}
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