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Interactive 3D modeling is the process of building a 3D model of an object or a scene in real-time while the 3D (range) data is acquired. This is possible only if the computational complexity of all involved algorithms is linear with respect to the amount of data. We propose a new framework for 3D modeling where a complete modeling chain meets with this(More)
This paper adopts a sampling perspective to surface light field modeling. This perspective eliminates the need of using the actual object surface in the surface light field definition. Instead, the surface ought to provide only a parameterization of the surface light field function that specifically reduces aliasing artifacts visible at rendering. To find(More)
This paper presents the full proof of concept of a system for capturing the light field of an object. It is based on a single high resolution camera that is moved all around the object on a cable-driven end-effector. The main advantages of this system are its scalability and low interference with scene lighting. The camera is accurately positioned along(More)
A few 3D interactive modeling systems have been developed recently. Such systems must cope with a high flow of input measurements during the entire acquisition period. Therefore, the reconstruction and rendering algorithms used must all run online. However, compression algorithms are still run offline as postprocessing. In order to develop a fully(More)
3D interactive modeling from range data aims at simultaneously producing and visualizing the surface model of an object while data is collected. The current research challenge is producing the final result in real-time. Using a recently proposed framework, a surface model is built in a volumetric structure encoding a vector field in the neighborhood of the(More)
Applications with optical atomic clocks and precision timing often require the transfer of optical frequency references to the electrical domain with extremely high fidelity. Here we examine the impact of photocarrier scattering and distributed absorption on the photocurrent noise of high-speed photodiodes when detecting ultralow jitter optical pulses.(More)
Hyperspectral data from a commercial Fourier-transform infrared imaging spectrometer is compressed using lossless Huffman coding. It is shown that, when using properly designed prediction schemes, data size can be significantly reduced even when using measurements from different instruments observing various scenes. Because acquisitions are often limited by(More)
In image-based light field rendering, many efforts have been made to improve the efficiency of the modeling. This efficiency pertains to the photorealism and compression of a given model. We propose a new way to improve these two aspects. We show that it is better to sample the plenoptic function on a surface that minimizes the frequency content of all its(More)
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