A growing demand is felt today for realistic 3D models enabling the cognition and popularization of historical-artistic heritage. Evaluation and preservation of Cultural Heritage is inextricably connected with the innovative processes of gaining, managing, and using knowledge. The development and perfecting of techniques for acquiring and elaborating photorealistic 3D models, made them pivotal ...

Active range cameras based on the Photonic Mixer Device (PMD) allow to capture low-resolution depth images of dynamic scenes at high frame rates. To use such devices together with high resolution optical cameras (e.g. in media production) the relative pose of the cameras with respect to each other has to be determined. This task becomes even more challenging, if the camera is to be moved and th...

Intensity based two-dimensional to three-dimensional (2D3D) registration algorithms usually rely on the generation of a Digitally Reconstructed Radiograph (DRR) in each iteration of the registration algorithm. The vast majority of the computation time of such registration algorithms can be contributed to the calculations needed to produce DRRs. Since 2D-3D registration often is applied during c...

In this contribution we present a formulation of the 2D3D pose estimation problem using implicit algebraic surfaces. To model the projective mapping, we apply novel Dixon resultant heuristics to deal with the rapidly increasing polynomial degrees of projected image outlines. The advantages as well as disadvantages of using linearised twist coordinates for pose representation are also discussed....

An efficient and simple method for matching image features to a model is presented. It is designed to indoor mobile robot self-location. It is a two stage method based on interpretation tree search approach and using straight line correspondences. In the first stage a set of matching hypothesis is generated. Exploiting the specificity of the mobile robotics context, the global interpretation tr...

We present the scalable design of an entire on-device system for large-scale urban localization. The proposed design integrates compact image retrieval and 2D-3D correspondence search to estimate the camera pose in a city region of extensive coverage. Our design is GPS agnostic and does not require the network connection. The system explores the use of an abundant dataset: Google Street View (G...

Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries. Images acquired by serial section EM, a leading 3D EM technique, are highly anisotropic, with inferior quality along the third dimension. For such images, the 2D m...

Construction projects start with some uncertainty and assumptions to formulate the final design within estimated budget and time. 2D3D model generation and walkthrough are traditional methods to demonstrate design to owners but now, construction industry is merging with real-time simulation industry. The demonstration technique is called Real-Time Interactive Simulation (RTIS) where a user can ...

Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries. Images acquired by serial section EM, a leading 3D EM technique, are highly anisotropic, with inferior quality along the third dimension. For such images, the 2D m...

The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an improved way of verifying patient position and medical instrument location. In applications from orthopedics to neurosurgery, it has a great value in maintaining up-to-date information about changes due to intervention. We propose a mutual information-based registration algorithm to estab...