By Jun Ye, Steven T. Cundiff
Over the past few years, there was a convergence among the fields of ultrafast technological know-how, nonlinear optics, optical frequency metrology, and precision laser spectroscopy. those fields were constructing principally independently because the beginning of the laser, attaining amazing degrees of functionality. at the ultrafast frontier, pulses of just a couple of cycles lengthy were produced, whereas in optical spectroscopy, the precision and determination have reached one half in even though those achievements seem to be thoroughly disconnected, advances in nonlinear optics supplied the fundamental hyperlink among them. The ensuing convergence has enabled remarkable advances within the regulate of the electrical box of the pulses produced by means of femtosecond mode-locked lasers. The corresponding spectrum comprises a comb of sharp spectral traces with well-defined frequencies. those new innovations and functions are generally called “femtosecond comb expertise. ” they've got had dramatic impression at the different fields of precision size and severe nonlinear optical physics. The old history for those advancements is supplied within the Foreword via of the pioneers of laser spectroscopy, John corridor and Theodor Hänsch. certainly the advancements defined during this booklet have been foreshadowed by means of Hänsch’s early paintings within the Seventies whilst he used picosecond pulses to illustrate the relationship among the time and frequency domain names in laser spectroscopy. This paintings complemented the advances in precision laser stabilization constructed by means of corridor.
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Additional info for Femtosecond optical frequency comb : principle, operation, and applications
For each new set of model parameter values, the optimization routine invokes the matching function evaluation routine on the graphics card. One valuable beneﬁt of model-based analysis is the low-dimensional parameter space when compared to general reconstruction methods. The parameterized model provides only a few dozen degrees of freedom that need to be determined, which greatly reduces the number of potential local minima. Furthermore, many high-level constraints are implicitly incorporated, and additional constraints can be easily enforced by making sure that all parameter values stay within their anatomically plausible range during optimization.
B) Silhouette XOR overlap. (c) Reconstructed pose of the template body model with kinematics skeleton 40 C. Theobalt et al. exploited. We eﬀectively constrain the search space by exploiting structural knowledge about the human body, knowledge about feasible body poses, temporal coherence in motion data and a grid sampling preprocessing step. Model parameter estimation is performed in descending order with respect to the individual impact of the segments on silhouette appearance and their position along the kinematic chain of the model.
By down-sampling the residual data before transmission and then up-sampling in the receiving side, apparent visual quality degrades in return for bit savings. However, ﬁnal perceptual quality of the stereoscopic 3D video will be about the same as ‘full bitrate’ version due to ‘additive nature’ of human stereopsis. Using RDSSVC we could reduce the resulting bitrates while maintaining the perceptual quality of the stereoscopic video. Right-view Images P P P P Left-view Images I P P P Disparity compensated prediction Motion compensated prediction Fig.