Shenchang Eric Chen

View interpolation for image synthesis

Image-space simplifications have been used to accelerate the calculation of computer graphic images since the dawn of visual simulation. Texture mapping has been used to provide a means by which images may themselves be used as display primitives. The work reported by this paper endeavors to carry this concept to its logical extreme by using interpolated images to portray three-dimensional scenes. The special-effects technique of morphing, which combines interpolation of texture maps and their shape, is applied to computing arbitrary intermediate frames from an array of prestored images. If the images are a structured set of views of a 3D object or scene, intermediate frames derived by morphing can be used to approximate intermediate 3D transformations of the object or scene. Using the view interpolation approach to synthesize 3D scenes has two main advantages. First, the 3D representation of the scene may be replaced with images. Second, the image synthesis time is independent of the scene complexity. The correspondence between images, required for the morphing method, can be predetermined automatically using the range data associated with the images. The method is further accelerated by a quadtree decomposition and a view-independent visible priority. Our experiments have shown that the morphing can be performed at interactive rates on today’s high-end personal computers. Potential applications of the method include virtual holograms, a walkthrough in a virtual environment, image-based primitives and incremental rendering. The method also can be used to greatly accelerate the computation of motion blur and soft shadows cast by area light sources. CR Categories and Subject Descriptors: I.3.3 [Computer Graphics]: Picture/Image Generation; I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism. Additional Keywords: image morphing, interpolation, virtual reality, motion blur, shadow, incremental rendering, real-time display, virtual holography, motion compensation.

A progressive multi-pass method for global illumination

A new progressive global illumination method is presented which produces approximate images quickly, and then continues to systematically produce more accurate images. The method combines the existing methods of progressive refinement radiosity, Monte Carlo path tracing and light ray tracing. The method does not place any limitation on surface properties such as ideal Lambertian or mirror-like. To increase efficiency and accuracy, the new concepts of light source reclassification, caustics reconstruction, Monte Carlo path tracing with a radiosity preprocess and an interruptible radiosity solution are introduced. The method presents the user with most useful information about the scene as early as possible by reorganizing the method into a radiosity pass, a high frequency refinement pass and a low frequency refinement pass. The implementation of the method is demonstrated, and sample images are presented.

An Object-Oriented Testbed for Global Illumination

Global illumination rendering involves the simulation of light interreflections between emitting and reflecting surfaces. Accounting for global illumination is necessary in the quest to generate images indistinguishable from real photographs. However, computing global illumination effects is a difficult problem and no algorithm published so far is capable of simulating all the effects in a reasonable amount of time. In this paper, we present a research testbed designed to facilitate experimentation on new global illumination algorithms. The testbed is object-oriented and encapsulates the basic components of rendering into classes that can be derived and overridden easily. The testbed allows new geometry, shading methods and display architecture to be added orthogonally. We have implemented a number of new rendering algorithms with the testbed and results are demonstrated.