Andrei Sharf - Research Statement
نویسنده
چکیده
As computer graphics matures, data is becoming a driving force of increased importance in this progress due to its large quantity and disparateness. Visualization, a domain in computer graphics, is specifically centered around the problem of data-dependent understanding and representation. However, since data is always imperfect, additional assumptions and information are required in order to process it. The acquisition process of three-dimensional shape data involves capturing and modeling of three-dimensional shapes. Such data is at the core of many applications in computer graphics, computer aided design, visualization, multimedia and other related fields. My research focuses on shape modeling and geometry processing techniques for imperfect data typically generated by range scanners. I am predominately interested in the problem of imperfect data reconstruction from different algorithmic, representational and data structure aspects. Currently the most common technique for three-dimensional shape acquisition is range scanning. The physical object is typically sampled by emitting a light and detecting its reflection. Although acquisition technology constantly advances, scanning complex objects will remain a difficult problem. Due to physical inaccessibility, regions of the object cannot be scanned properly. Scan data contains large missing parts, outliers and under-sampled regions. Therefore, the reconstruction of a complete watertight model that is faithful to the original physical object is difficult.
منابع مشابه
ShapeExplorer: Querying and Exploring Shapes using Visual Knowledge
With unprecedented amounts of multimodal data on the Internet, there is an increasing demand for systems with a more fine-grained understanding of visual data. ShapeExplorer is an interactive software tool based on a detailed analysis of images in terms of object shapes and parts. For instance, given an image of a donkey, the system may rely on previously acquired knowledge about zebras and dog...
متن کاملRotating Scans for Systematic Error Removal
Optical triangulation laser scanners produce errors at surface discontinuities and sharp features. These systematic errors are anisotropic. We examine the causes of these errors theoretically, and we study the correlation of systematic error with edge size and orientation experimentally. We then present a novel processing method for removing systematic errors, by combining scans taken at severa...
متن کاملMulti-Camera Tracking and Mapping for Unmanned Aerial Vehicles in Unstructured Environments
Pose estimation for small unmanned aerial vehicles has made large improvements in recent years, leading to vehicles that use a suite of sensors to navigate and explore various environments. In particular, cameras have become popular due to their low weight and power consumption, as well as the large amount of data they capture. However, processing this data to extract useful information has pro...
متن کاملCase mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult, general critical care unit: application of predictive models from a secondary analysis of the ICNARC Case Mix Programme Database
INTRODUCTION This study pools data from the UK Intensive Care National Audit and Research Center (ICNARC) Case Mix Programme (CMP) to evaluate the case mix, outcome and activity for 17,326 patients with severe acute kidney injury (AKI) occurring during the first 24 hours of admission to intensive care units (ICU). METHODS Severe AKI admissions (defined as serum creatinine >/=300 mumol/l and/o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008