{"title":"Verifying the 'consistency' of shading patterns and 3-D structures","authors":"P. Sinha, E. Adelson","doi":"10.1109/WQV.1993.262948","DOIUrl":"https://doi.org/10.1109/WQV.1993.262948","url":null,"abstract":"The problem of interpreting images in terms of their shading and reflectance components has traditionally been addressed as an early vision task in a simple 2D Mondrian domain. Recently it has been appreciated that in a 3D world, such conventional approaches are inadequate; more sophisticated strategies are required. A key computation that needs to be performed for interpreting images acquired in a 3D domain is the verification of the consistency of image shading patterns and the likely 3D structure of the scene. This is the problem addressed in the paper. Considerations of robustness and generality have prompted the authors to discard available quantitative techniques in favor of a qualitative one. The two prime attributes of the technique are its use of qualitative comparisons of gray-levels instead of their precise absolute measurements and also its doing away with the need of an exact pre-specification of the surface reflectance function. This idea lends itself naturally to a linear-programming solution technique and that results obtained with some sample images are in conformity with human perception.<<ETX>>","PeriodicalId":309941,"journal":{"name":"[1993] Proceedings IEEE Workshop on Qualitative Vision","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114870848","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}
{"title":"On a study of invariant features in nonrigid transformations","authors":"C. Kambhamettu, Dmitry Goldgof, M. He","doi":"10.1109/WQV.1993.262943","DOIUrl":"https://doi.org/10.1109/WQV.1993.262943","url":null,"abstract":"Invariant features are of prime importance in computer vision. These features are any properties of the surface that are not changed during a transformation, and which can be used for object recognition or motion analysis. Two categories of invariancies can be identified: invariance with respect to the rigid motion, and invariance with respect to the nonrigid motion. The authors concentrate on the differential geometric properties that can be used to detect the nonrigid motion of a given surface. Analysis of invariant features of a surface that can be used in recognition of nonrigid motion has been addressed. A novel method for estimating point correspondences between surfaces undergoing a small deformation is presented.<<ETX>>","PeriodicalId":309941,"journal":{"name":"[1993] Proceedings IEEE Workshop on Qualitative Vision","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124768485","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}
{"title":"Learning and recognition of 3D objects from appearance","authors":"H. Murase, S. Nayar","doi":"10.1109/WQV.1993.262951","DOIUrl":"https://doi.org/10.1109/WQV.1993.262951","url":null,"abstract":"The authors address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, they formulate the recognition problem as one of matching visual appearance rather than shape. The appearance of an object in a two-dimensional image depends on its shape, reflectance properties, pose in the scene, and the illumination conditions. While shape and reflectance are intrinsic properties of an object and are constant, pose and illumination vary from scene to scene. They present a new compact representation of object appearance that is parameterized by pose and illumination. They have conducted experiments using several objects with complex appearance characteristics.<<ETX>>","PeriodicalId":309941,"journal":{"name":"[1993] Proceedings IEEE Workshop on Qualitative Vision","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125734445","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}