We present an approach to detecting and analyzing the 3D configuration of objects in real-world images with heavy occlusion and clutter. We focus on the application of finding and analyzing cars. We do so with a two-stage model; the first stage reasons about 2D shape and appearance variation due to within-class variation (station wagons look different than sedans) and changes in viewpoint. Rath...

The ability to create complete 3D models of real world objects is an important task for various applications. In digital inspection, complete models allow users to analyze the entirety of an object. However, various difficulties arise for imagebased acquisition techniques. First, the viewpoint planning problem must be solved. Second, each of the resulting viewpoint captures must be combined wit...

Introduction: The aim of this study was to evaluation radiobiological modeling parameters on tumor control probability (TCP) for prostate cancer in three different models. These parameters included α⁄β ratios and cell surviving fraction at 2 Gy (SF2). Materials and Methods: The Poisson, equivalent uniform dose (EUD) and linear quadratic (LQ) models was used as...

Most of river engineering problems are complicated and need to be analyzed by three dimensional models of flow and sediment transport. Considering the fact that computers and numerical methods with great ability of flow and sediment transport simulation are developing quickly, using numerical modeling by engineers is inevitable. Nevertheless, before application, numerical models need to be veri...

Digital 3D models of patients’ organs or tissues are often needed for surgical planning and outcome evaluation, or to select prostheses adapted to patients’ anatomy. Tissue classification is one of the hardest problems in automatic model generation from raw data. The existing solutions do not give reliable estimates of the accuracy of the resulting model. We propose a simple generative model us...

The problem of modeling large-scale virtual urban environments has remained challenging for computer graphics researchers and urban planners. Cities are difficult to model in detail, since they hold diverse and complex geometries. Building large-scale 3D city models by means of photogrammetric reconstruction is a time and resource intensive, often semi-automatic process and does not provide dat...

In this paper, a novel Patch Geodesic Derivative Pattern (PGDP) describing the texture map of a face through its shape data is proposed. Geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3D images with different pose and expression variations. An extensive experimental investigation is conducted using the publicly available Bosphorus and BU-3...