Due to the nonlinear and nonuniform local deformation of the nonrigid tissues, it is difficult whereas important to extract and correctly match a considerable number of feature points from the MR images for deformation measurement. Current approaches are dissatisfying towards this issue. In this paper, firstly the authors use SURF algorithm to extract the feature points in the initial MR image,...

We present a method for automatically finding correspondence in Diffusion Tensor Imaging (DTI) from deformable registration to a common atlas. The registration jointly produces an average DTI atlas, which is unbiased with respect to the choice of a template image, along with diffeomorphic correspondence between each image. The registration image match metric uses a feature detector for thin fib...

This paper presents a novel interactive system for establishing compatible meshes for articulated shapes. Given two mesh surfaces, our system automatically generates both the global level component correspondence and the local level feature correspondence. Users can use some sketch-based tools to specify the correspondence in an intuitive and easy way. Then all the other vertex correspondences ...

1 Summary In this paper, we address the problem of registering two images obtained using diierent sensors, elds of view and/or lighting conditions, where conventional approaches relying on feature correspondence or area correlation are likely to fail. The approach presented in this paper eliminates the need for feature matching, and is robust to variations in sensor characteristics, imaging con...

We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying “geometric blur” to both the template and the image, resulting in a fall-off in similarity that is close to linear in the norm of the distortion between the template and the image. Results in wide baseline stereo corre...

This paper presents a new image interpolation algorithm for image-based interactive walkthrough. An adaptive subdivision approach is developed to progressively establish feature correspondence between images taken at different locations within a real world scene. Using such correspondence, image interpolations can be interactively carried out within a triangulated domain area for real-time walk...

The project is concerned with the development of algorithms for the creation of photo-realistic 3D virtual environments, overcoming problems in mosaicing, colour and lighting changes, correspondence search speed and correspondence errors due to lack of surface texture. A number of related new algorithms have been investigated for image stitching, content based colour correction and efficient 3D...

The Agreement-By-Correspondence framework (=‘ABC’) is a theory of agreement developed (by Walker 2000a,b, Hansson 2001, and especially Rose & Walker 2004) to explain long-distance consonant harmony: patterns where non-adjacent consonants agree with each other, but do not interact with the other material that intervenes between them. In ABC, the basis for this agreement is Surface Correspondence...

The conventional search methods have computational complexity problem and imprecision problem in correspondence matching process. To resolve these problems, we propose how to effectively make feature space (distance map) and how to rapidly search the optimal point correspondence. The proposed distance map named Voronoi distance map is a 2-Dimensional surface that contains the distance informati...

This paper presents a feature-based image registration framework which exploits a novel machine learning (ML)based interest point detection (IPD) algorithm for feature selection and correspondence detection. We use a feed-forward neural network (NN) with back-propagation as our base ML detector. Literature on ML-based IPD is scarce and to our best knowledge no previous research has addressed fe...