Light field

About: Light field is a research topic. Over the lifetime, 5357 publications have been published within this topic receiving 87424 citations.

Cavity QED with cold trapped ions

Abstract: We analyze the quantum motion of a cold, trapped two-level ion interacting with a quantized light field in a single-mode cavity. We show that in the nonclassical Lamb-Dicke limit the time evolution of the vibrational mode representing the quantized motion of the center of mass of the trapped ion is very sensitive to the quantum statistics of the light field. We also show that the system under consideration may evolve into the maximally entangled three-particle Greenberger-Horne-Zeilinger state. We briefly discuss the dynamics of a cluster of two-level ions trapped in a cavity and interacting with a quantized light field. @S1050-2947~97!07209-0#

Rendering of spherical light fields

Abstract: A plenoptic function is a parameterized function describing the flow of light in space, and has served as a key idea in building some of the recent image based rendering systems. The paper presents a new representation scheme, called a spherical light field, of the plenoptic function, that is based on spheres. While methods using spherical coordinates are thought to require substantially more computation than those using planar or cylindrical coordinates, we show that spheres can also be used efficiently in representing and resampling the flow of light. Our image based rendering algorithm is different from the previous systems, the light field and lumigraph, in that it is an "object space" algorithm that can be easily embedded into the traditional polygonal rendering system. Our method is easily accelerated by 3D graphics boards that support the primitive functionality, such as viewing and smooth shading. In addition, we introduce an encoding scheme based on wavelets for compression of the huge data resulting from sampling of the spherical light field. The proposed technique can be easily adapted to compress the light field and lumigraph data, and offers as high compression ratios as the previous methods. Furthermore, it naturally creates a multi resolutional representation of the light flow that can be exploited effectively in the future applications. We show how to access the compressed data efficiently using a modified significance map and an incremental decoding technique, and report experimental results on several test data sets.

Robust Light Field Depth Estimation for Noisy Scene with Occlusion

Abstract: Light field depth estimation is an essential part of many light field applications. Numerous algorithms have been developed using various light field characteristics. However, conventional methods fail when handling noisy scene with occlusion. To remedy this problem, we present a light field depth estimation method which is more robust to occlusion and less sensitive to noise. Novel data costs using angular entropy metric and adaptive defocus response are introduced. Integration of both data costs improves the occlusion and noise invariant capability significantly. Cost volume filtering and graph cut optimization are utilized to improve the accuracy of the depth map. Experimental results confirm that the proposed method is robust and achieves high quality depth maps in various scenes. The proposed method outperforms the state-of-the-art light field depth estimation methods in qualitative and quantitative evaluation.

Apparatus and method for processing light field data using a mask with an attenuation pattern

Abstract: Provided are an apparatus and method for processing a light field image that is acquired and processed using a mask to spatially modulate a light field. The apparatus includes a lens, a mask to spatially modulate 4D light field data of a scene passing through the lens to include wideband information on the scene, a sensor to detect a 2D image corresponding to the spatially modulated 4D light field data, and a data processing unit to recover the 4D light field data from the 2D image to generate an all-in-focus image.