In this paper we introduce a new method for non-rigid voxel-based registration of medical images. There exist many applications where an alignment between two image datasets has to be established. Often a registration of a time-shifted medical image sequence with appearing deformation of soft tissue (e.g. preand intraoperative data) has to be conducted. Soft tissue deformations are usually high...

In this paper we introduce a new method for non-rigid voxelbased registration. In many medical applications there is a need to establish an alignment between two image datasets. Often a registration of a time-shifted medical image sequence with appearing deformation of soft tissue (e.g. preand intraoperative data) has to be conducted. Soft tissue deformations are usually highly non-linear. For ...

Shape registration is fundamental to 3D object acquisition; it is used to fuse scans from multiple views. Existing algorithms mainly utilize geometric information to determine alignment, but this typically results in noticeable misalignment of textures (i.e. surface colors) when using RGB-depth cameras. We address this problem using a novel approach to color-aware registration, which takes both...

Two-dimensional gas chromatography (GC×GC) plays a central role into the elucidation of complex samples. The automation of the identification of peak areas is of prime interest to obtain a fast and repeatable analysis of chromatograms. To determine the concentration of compounds or pseudo-compounds, templates of blobs are defined and superimposed on a reference chromatogram. The templates then ...

Matching 3D rigid point clouds in complex environments robustly and accurately is still a core technique used in many applications. This paper proposes a new architecture combining error estimation from sample covariances and dual global probability alignment based on the convolution of adaptive Gaussian Mixture Models (GMM) from point clouds. Firstly, a novel adaptive GMM is defined using prob...

In this work, an extension of the already studied Topo-Geometrical Superposition Approach (TGSA) is presented. TGSA, a general-purpose, fast, automatic, and user-intuitive three-dimensional molecular alignment procedure, was originally designed to superpose rigid molecules simply based on atomic numbers, molecular coordinates, and connectivity. The algorithm is further developed to enable handl...

Introduction: In orthodontic treatment, adequate anchorage is necessary to move the intended teeth. In some cases, just anterior teeth are malaligned, while posterior occlusion is acceptable. Therefore, the posterior teeth could be integrated by fiber-reinforced composite (FRC) to provide a rigid anchorage. This method proved advantageous since brackets are bonded just to anter...

We present in this paper a precise study of Alignment and Geometric Hashing for the recognition of 3D rigid objects in the presence of uncertainty. Given a bounded error on point features, we propagate it through the computations to determine the translation and rotation error. This allows the computation of the compatibility zone, either in the image or in the hash table, to insure the correct...

Fiber alignment is the defining architectural characteristic of discontinuous fiber composites and is dictated by shear-dominated processing techniques including flow-injection molding, tape-casting, and mold-casting. However, recent colloidal assembly techniques have started to employ additional forces in fiber suspensions that have the potential to change the energy landscape of the shear-dom...

Clinical studies on atherosclerosis regression/progression performed by intravascular ultrasound analysis require the alignment of pullbacks of the same patient before and after clinical interventions, In this paper, a methodology for the automatic alignment of IVUS sequences based on the dynamic time warping technique is proposed. The method is adapted to the specific IVUS alignment task by ap...