Hyunjung Shim

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We present a new approach to face relighting by jointly estimating the pose, reflectance functions, and lighting from as few as one image of a face. Upon such estimation, we can synthesize the face image under any prescribed new lighting condition. In contrast to commonly used face shape models or shape-dependent models, we neither recover nor assume the(More)
Many barriers, including being uninsured or having less than comprehensive health insurance coverage, reduce access to palliative and end-of-life care by inner city minorities. Medicaid or Medicare coverage alone can limit options for pain and symptom management, especially when late referrals make it more difficult to achieve symptom control. Patient(More)
This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-flight (ToF) range sensors and color cameras. Our system captures the multiple pairs of color images and depth maps at multiple viewing directions. In order to ensure the acceptable accuracy of measurements, we compensate errors in sensor measurement and(More)
Image-based relighting (IBL) has become a popular research topic in both computer graphics and signal processing. IBL is the technique that renders images of a scene under different lighting conditions without prior knowledge of the object geometry and surface properties in the scene. Simply put, IBL collects images of the scene under all possible lighting(More)
This paper presents a novel approach to face modeling for realistic synthesis, powered by a probabilistic face diffuse model and a generic face specular map. We first construct a probabilistic face diffuse model for estimating the albedo and the normals of a face from an unknown input image. Then, we introduce a generic face specular map for estimating the(More)