Image Matching Using Generalized Scale-Space Interest Points
نویسندگان
چکیده
منابع مشابه
Using Top-Points as Interest Points for Image Matching
We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from...
متن کاملImage Retrieval Using Scale-Space Matching
The retrieval of images from a large database of images is an important and emerging area of research. Here, a technique to retrieve images based on appearance that works eeectively across large changes of scale is proposed. The database is initially ltered with derivatives of a Gaussian at several scales. A user deened template is then created from an image of an object similar to those being ...
متن کاملTop-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from any coars...
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Local interest points and descriptors have been used very successfully to achieve accurate and efficient image retrieval and matching performance which is robust to occlusion and limited viewpoint change. Currently, these systems tend to be initialized from still images and require that a thousand or more points be stored in a retrieval data structure for each object. Many of these points are r...
متن کاملSpace-time Interest Points
Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for its interpretation. To detect spatio-...
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ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2014
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-014-0541-0