PURPOSE To determine the accuracy of automated alignment algorithms for the registration of optic disc images obtained by 2 different modalities: fundus photography and scanning laser tomography. MATERIALS AND METHODS Images obtained with the Heidelberg Retina Tomograph II and paired photographic optic disc images of 135 eyes were analyzed. Three state-of-the-art automated registration techni...

The straightforward interpretation of solution state residual dipolar couplings (RDCs) in terms of internuclear vector orientations generally requires prior knowledge of the alignment tensor, which in turn is normally estimated using a structural model. We have developed a protocol which allows the requirement for prior structural knowledge to be dispensed with as long as RDC measurements can b...

We have recently developed a flexible protein structure alignment program (FATCAT) that identifies structural similarity, at the same time accounting for flexibility of protein structures. One of the most important applications of a structure alignment method is to aid in functional annotations by identifying similar structures in large structural databases. However, none of the flexible struct...

Non-spherical particles transported by an anisotropic turbulent flow preferentially align with the mean shear and intermittently tumble when local strain fluctuates. Such intricate behaviour is here studied for inertialess, rod-shaped embedded in a two-dimensional homogeneous shear. A Lagrangian stochastic model rods angular dynamics introduced compared to results of direct numerical simulation...

The biological role, biochemical function, and structure of uncharacterized protein sequences is often inferred from their similarity to known proteins. A constant goal is to increase the reliability, sensitivity, and accuracy of alignment techniques to enable the detection of increasingly distant relationships. Development, tuning, and testing of these methods benefit from appropriate benchmar...

A complete representation of 3D objects requires characterizing the space deformations in an interpretable manner, from articulations a single instance to changes shape across categories. In this work, we improve on prior generative model geometric disentanglement for shapes, wherein object geometry is factorized into rigid orientation, non-rigid pose, and intrinsic shape. The resulting can be ...

Real-time in vivo and in situ imaging at the cellular level can be achieved with fibered confocal microscopy. As interesting as dynamic sequences may be, there is a need for the biologist or physician to get an efficient and complete representation of the entire imaged region. For this demand, the potential of this imaging modality is enhanced by using video mosaicing techniques. Classical mosa...

In this dissertation, we focus on solving Nonlinear Least Squares problems using a supervised approach. In particular, we developed a Supervised Descent Method (SDM), performed thorough theoretical analysis, and demonstrated its effectiveness on optimizing analytic functions, and four other real-world applications: Inverse Kinematics, Rigid Tracking, Face Alignment (frontal and multi-view), and...

Purpose This work examines an extension of an entropy based non-rigid registration algorithm to recover very localised sub-voxel distortion of EPI data relative to high-resolution anatomical MRI. Such a registration estimate can then be used to provide increased accuracy of the anatomical localisation of fMRI activations. Introduction Accurate alignment of fMRI data with high-resolution anatomi...

We propose a method for non-rigid face alignment which only needs a single template, such as using a person's smile face to match his surprise face. First, in order to be robust to outliers caused by complex geometric deformations, a new local feature matching method called K Patch Pairs (K-PP) is proposed. Specifically, inspired by the state-of-art similarity measure used in template matching,...