Inverse rendering techniques for physically grounded image editing

From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where light is coming from to illuminate the scene. For example, we can reliably tell which objects occlude others, what an object is made of and its rough shape, regions that are illuminated or in shadow, and so on. It is interesting how little is known about our ability to make these determinations; as such, we are still not able to robustly "teach" computers to make the same high-level observations as people. This document presents algorithms for understanding intrinsic scene properties from single images. The goal of these inverse rendering techniques is to estimate the configurations of scene elements (geometry, materials, luminaires, camera parameters, etc) using only information visible in an image. Such algorithms have applications in robotics and computer graphics. One such application is in physically grounded image editing: photo editing made easier by leveraging knowledge of the physical space. These applications allow sophisticated editing operations to be performed in a matter of seconds, enabling seamless addition, removal, or relocation of objects in images

Interactive curve modeling: Creating and manipulating three dimensional objects using two dimensional input [abstract]

Abstract only availableIn modern computer graphics, especially in the field of modeling and animation, polygons are the preferred method used to design three dimensional objects. However, because polygons are made up of vertices and linear edges, they are not inherently smooth. Furthermore, many physical objects cannot be accurately recreated using only flat, concave, or convex polygons. One method to solving this problem uses cubic curves, curves with a degree of three, to define surfaces in three dimensional space. Cubic curves are inherently smooth, and allow for surfaces of any type to be replicated with the utmost authenticity. Using an interactive curve editor, a program to create, edit, and manipulate cubic curves, the results show that defining a curve using cubic curve equations is much easier and efficient to do than with the standard line segment method. I believe the same results would occur if one were to compare creating a surface with curves as opposed to attempting to produce that same surface with polygons. The next step towards expanding this technology and testing the aforementioned hypothesis would be to write a program that will sweep one curve along another curve, thus creating a surface. These surfaces, defined purely by curves, would bring a heightened level of realism into modern computer graphics and would provide an alternative modeling method to the traditional polygonal modeling methods.College of Engineering Undergraduate Research Optio