We propose a novel method for performing point-feature correspondence based on a modal shape description. Introducing shape information into a low-level matching process allows our algorithm to cope easily with rotations and translations in the image plane, yet still give a dense correspondence. We also show positive results for scale changes and small skews, and demonstrate how reflectional sy...

We propose a novel method for performing point.feature correspondence based on a modal shape description. Introducing shape information into a low-level matching proc’ess allows our algorithm to cope easily with rotutions and translutions in the image plane, yet still give a dense correspondence. We also show positive results for scale changes and small skews, and demonstrate how reflectional s...

Establishing reliable correspondences between object surfaces is a fundamental operation, required in many contexts such as cleaning up and completing imperfect captured data, texture and deformation transfer, shapespace analysis and exploration, and the automatic generation of realistic distributions of objects. We present a method for matching a template to a collection of possibly target mes...

Feature correspondence is an important step in image registration. Chamfer matching is a process of establishing the feature correspondence of an object (subimage) in an image where both the subimage and the image are binary. Chamfer matching establishes correspondence based on low level features. It is the process of locating the template within the image by shifting the template within the im...

We develop a probabilistic framework for feature based multi-image matching that explicitly models the joint distribution of corresponding feature positions across several images. Conditioning this distribution on feature positions in some of the images gives welllocalized distributions for their correspondents in the others, which directly guide the correspondence search. This general framewor...

This paper presents a new approach to global localization for mobile robots from a single feature correspondence only. The method is based on a piece-wise planar environment map and uses planar natural landmarks as commonly encountered in man made environments. The method is especially useful in case of large occlusions. The standard Lu and Hager pose estimation algorithm [6] is extended to imp...

Pixel correspondence is an important problem in stereo vision, motion, structure from motion, etc. Several procedures have been proposed in the literature for this problem, using a variety of image features to identify the corresponding features. Di erent features work well under di erent conditions. An algorithm that can seamlessly integrate multiple features in a exible manner can combine the...

En this paprr we present a novel technique for establishing a rohusl a n d arrurat~ rorr~spondence between a 3d model and a 2d image. \Vt. present a transform clustering approach to i so l a t~ the transformation that maps the mad01 f ~ a t t ~ r e n to the image featur~s . Tt is shown that this transform clustering techniqu~ alleviates the prohIerns with using the traditional Hough transform t...