We present a physically-based approach for simulating makeup in face images. The key idea is to decompose the face image into intrinsic image layers - namely albedo, diffuse shading, and specular highlights - which are each differently affected by cosmetics, and then manipulate each layer according to corresponding models of reflectance. Accurate intrinsic image decompositions for faces are obtained with the help of human face priors, including statistics on skin reflectance and facial geometry. The intrinsic image layers are then transformed in appearance according to measured optical properties of cosmetics and proposed adaptations of physically-based reflectance models. With this approach, realistic results are generated in a manner that preserves the personal appearance features and lighting conditions of the target face while not requiring detailed geometric and reflectance measurements. We demonstrate this technique on various forms of cosmetics including foundation, blush, lipstick, and eye shadow. Results on both images and videos exhibit a close approximation to ground truth and compare favorably to existing techniques.

This paper presents a facial performance capture system that automatically captures high-fidelity facial performances using uncontrolled monocular videos ( e.g ., Internet videos). We start the process by detecting and tracking important facial features such as the nose tip and mouth corners across the entire sequence and then use the detected facial features along with multilinear facial models to reconstruct 3D head poses and large-scale facial deformation of the subject at each frame. We utilize per-pixel shading cues to add fine-scale surface details such as emerging or disappearing wrinkles and folds into large-scale facial deformation. At a final step, we iterate our reconstruction procedure on large-scale facial geometry and fine-scale facial details to further improve the accuracy of facial reconstruction. We have tested our system on monocular videos downloaded from the Internet, demonstrating its accuracy and robustness under a variety of uncontrolled lighting conditions and overcoming significant shape differences across individuals. We show our system advances the state of the art in facial performance capture by comparing against alternative methods.

Dynamic hair strands have complex structures and experience intricate collisions and occlusion, posing significant challenges for high-quality reconstruction of their motions. We present a comprehensive dynamic hair capture system for reconstructing realistic hair motions from multiple synchronized video sequences. To recover hair strands' temporal correspondence, we propose a motion-path analysis algorithm that can robustly track local hair motions in input videos. To ensure the spatial and temporal coherence of the dynamic capture, we formulate the global hair reconstruction as a spacetime optimization problem solved iteratively. Demonstrated using a range of real-world hairstyles driven by different wind conditions and head motions, our approach is able to reconstruct complex hair dynamics matching closely with video recordings both in terms of geometry and motion details.

This paper presents an automatic and robust approach that accurately captures high-quality 3D facial performances using a single RGBD camera. The key of our approach is to combine the power of automatic facial feature detection and image-based 3D nonrigid registration techniques for 3D facial reconstruction. In particular, we develop a robust and accurate image-based nonrigid registration algorithm that incrementally deforms a 3D template mesh model to best match observed depth image data and important facial features detected from single RGBD images. The whole process is fully automatic and robust because it is based on single frame facial registration framework. The system is flexible because it does not require any strong 3D facial priors such as blend shape models. We demonstrate the power of our approach by capturing a wide range of 3D facial expressions using a single RGBD camera and achieve state-of-the-art accuracy by comparing against alternative methods.

This paper introduces a new approach for acquiring high-fidelity 3D facial performances with realistic dynamic wrinkles and fine-scale facial details. Our approach leverages state-of-the-art motion capture technology and advanced 3D scanning technology for facial performance acquisition. We start the process by recording 3D facial performances of an actor using a marker-based motion capture system and perform facial analysis on the captured data, thereby determining a minimal set of face scans required for accurate facial reconstruction. We introduce a two-step registration process to efficiently build dense consistent surface correspondences across all the face scans. We reconstruct high-fidelity 3D facial performances by combining motion capture data with the minimal set of face scans in the blendshape interpolation framework. We have evaluated the performance of our system on both real and synthetic data. Our results show that the system can capture facial performances that match both the spatial resolution of static face scans and the acquisition speed of motion capture systems.

In this paper, we propose the seamless multimedia system Yongzheng Emperor's interactive tabletop, which has been incorporated into the special exhibition "Harmony and Integrity: The Yongzheng Emperor and His Times" at the National Palace Museum in Taiwan. The multimedia system features the innovative use of physical artifacts - Yongzheng figurines and a model of Yongzheng-era calendar clock as tangible user interfaces, which have been used to activate on the Surface the emperor's life at court and chronological events of his times. Museum audiences can naturally and intuitively explore the Emperor's stories by the use of hand gestures. The system vividly connects the modern world of the audiences with the emperor's virtual world, engaging museum audiences in the most interactive and compelling way to learn about the emperor. The paper aims to present the development of the seamless tabletop system in a historical museum context, including design principles, implementation, applications, and effectiveness of the system. Our contribution in this project is to demonstrate a new exhibition display model for the museum sector.

Many map systems are created to help the user finding a place or define a route to follow. Google Map extends the concept of "surfing the map" by adding a street view that allows the user to explore a place from real pictures, creating the same feeling of walking through the streets. The horizontal 2D map and vertical panoramic street view, however, cause usability problems, while operating with traditional computer mouse and keyboards and presenting by single vertical or horizontal display. This paper presents a new table system composed of a horizontal tabletop screen and a vertical screen. The map view and the street view are displayed on the horizontal and vertical displays of our system respectively. Users can place the tangible pawn on the 2D map to have direct access of the street view from the pawn's point of view. In the user study, we compare our system with a standard computer system in the navigation task. The results reported that our system improves the intuitiveness of use, efficiency of city exploring and ease of remembrance on spaces that are not familiar beforehand. We also discuss limitations of using tangible objects for map navigation.

This paper presents a programmable infrared (IR) technique that utilizes invisible, programmable markers to support interaction beyond the surface of a diffused-illumination (DI) multi-touch system. We combine an IR projector and a standard color projector to simultaneously project visible content and invisible markers. Mobile devices outfitted with IR cameras can compute their 3D positions based on the markers perceived. Markers are selectively turned off to support multi-touch and direct on-surface tangible input. The proposed techniques enable a collaborative multi-display multi-touch tabletop system. We also present three interactive tools: i-m-View, i-m-Lamp, and i-m-Flashlight, which consist of a mobile tablet and projectors that users can freely interact with beyond the main display surface. Early user feedback shows that these interactive devices, combined with a large interactive display, allow more intuitive navigation and are reportedly enjoyable to use.