This paper discusses a method to reconstruct a transparent ow surface from single camera shot with the aid of a Micro-lens array. An intentionally prepared high frequency background which is placed behind the refractive flow is captured and a curl-free optical flow algorithm is applied between pairs of images taken by different micro-lenses. The computed raw optical ow vector is a blend of motion parallax and background deformation vector due to the underlying flow. Subtracting the motion parallax, which is obtained by calibration, from the total op- optical flow vector yields the background deformation vector. The deflection vectors on each images are used to reconstruct the flow profile. A synthetic data set of fuel injection was used to evaluate the accuracy of the proposed algorithm and good agreement was achieved between the test and reconstructed data. Finally, real light field data of hot air created by a lighter flame is used to reconstruct and show a hot air plume surface.
This paper focuses on resolving long-standing limitations of parallax barriers by applying formal optimization
methods. We consider two generalizations of conventional parallax barriers. First, we consider general two-layer
architectures, supporting high-speed temporal variation with arbitrary opacities on each layer. Second,
we consider general multi-layer architectures containing three or more light-attenuating layers. This line of
research has led to two new attenuation-based displays. The High-Rank 3D (HR3D) display contains a stacked
pair of LCD panels; rather than using heuristically-defined parallax barriers, both layers are jointly-optimized
using low-rank light field factorization, resulting in increased brightness, refresh rate, and battery life for mobile
applications. The Layered 3D display extends this approach to multi-layered displays composed of compact
volumes of light-attenuating material. Such volumetric attenuators recreate a 4D light field when illuminated
by a uniform backlight. We further introduce Polarization Fields as an optically-efficient and computationally efficient
extension of Layered 3D to multi-layer LCDs. Together, these projects reveal new generalizations to
parallax barrier concepts, enabled by the application of formal optimization methods to multi-layer attenuation-based
designs in a manner that uniquely leverages the compressive nature of 3D scenes for display applications.
Holography and computer graphics are being used as tools to solve individual research, engineering, and presentation problems within several domains. Up until today, however, these tools have been applied separately. Our intention is to combine both technologies to create a powerful tool for science, industry and education. We are currently investigating the possibility of integrating computer generated graphics and holograms. This paper gives an overview over our latest results. It presents several applications of interaction techniques to graphically enhanced holograms and gives a first glance on a novel method that reconstructs depth from optical holograms.
Conference Committee Involvement (2)
Optoelectronic Imaging and Multimedia Technology VI
21 October 2019 | Hangzhou, China
17 April 2016 | Baltimore, Maryland, United States