Hair is a major feature of digital characters. Unfortunately, it has a complex geometry which challenges standard modeling tools. Some dedicated techniques exist, but creating a realistic hairstyle still takes hours. Complementary to user-driven methods, we here propose an image-based approach to capture the geometry of hair.The novelty of this work is that we draw information from the scattering properties of the hair that are normally considered a hindrance.To do so, we analyze image sequences from a fixed camera with a moving light source. We first introduce a novel method to compute the image orientation of the hairs from their anisotropic behavior. This method is proven to subsume and extend existing work while improving accuracy. This image orientation is then raised into a 3D orientation by analyzing the light reflected by the hair fibers. This part relies on minimal assumptions that have been proven correct in previous work.Finally, we show how to use several such image sequences to reconstruct the complete hair geometry of a real person. Results are shown to illustrate the fidelity of the captured geometry to the original hair. This technique paves the way for a new approach to digital hair generation.
Application-level networking is a promising software organization for improving performance and functionality for important network services. The Xok/ExOS exokernel system includes applicationlevel support for standard network services, while at the same time allowing application writers to specialize networking services. This paper describes how Xok /ExOS's kernel mechanisms and library operating system organization achieve this flexibility, and retrospectively shares our experiences and lessons learned (both positive and negative). It also describes how we used this flexibility to build and specialize three network data services: the Cheetah HTTP server, the webswamp Web benchmarking tool, and an application-level TCP forwarder. Overall measurements show large performance improvements relative to similar services built on conventional interfaces, in each case reaching the maximum possible end-to-end performance for the experimental platform. For example, Cheetah provides factor of 2-4 increases in throughput compared to highly tuned socket-based implementations and factor of 3-8 increases compared to conventional systems. Webswamp can offer loads that are two to eight times heavier. The TCP forwarder provides 50-300% higher throughput while also providing end-to-end TCP semantics that cannot be achieved with POSIX sockets. With more detailed measurements and profiling, these overall performance improvements are also broken down and attributed to the specific specializations described, providing server writers with insights into where to focus their optimization efforts.
Many real objects, such as faces, sculptures, or low-reliefs are composed of many detailed parts that can not be easily modeled by an artist nor by 3D scanning. In this paper, we propose a new shape from shading (SfS) approach to rapidly model details of these objects such as wrinkles and reliefs of surfaces from one photograph. The method first determines the surface's flat areas in the photograph. Then, it constructs a graph of relative altitudes between each of these flat areas. We circumvent the ill-posed problem of shape from shading by having the user set if some of these flat areas are a local maximum or a local minimum; additional points can be added by the user (e.g. at discontinuous creases)-this is the only user input. We use an intuitive mass-spring based minimization to determine the final position of these flat areas and a fast-marching method to generate the surface. This process can be iterated until the user is satisfied with the resulting surface. We illustrate our approach on real faces and low-relief photographs.
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