| UFLIC (Unsteady Flow Line Integral Convolution) [60] 
      is an object-space texture synthesis technique designed to visualize unsteady 
      flow fields. The two important components, the time-accurate value scattering 
      scheme and the successive texture feed-forward strategy, are based on the 
      observation that particles leave their footprints, i.e., deposit their properties 
      (e.g., texture values) at downstream positions, as the flow runs over time. 
      At each time step a scattering process (SCAP, Figure 
      1) occurs for which a seed is released, i.e., discharged, from each 
      pixel as a contributor to scatter the texture value to the downstream pixels 
      along the newly advected pathline in its life span that usually ranges 
      through several time steps. On the other hand, as a receiver, each pixel 
      keeps several stamped buckets in a ring buffer to accumulate deposited values. 
      A frame is obtained by convolving the values that each pixel has received 
      and stored in the bucket stamped with the frame index, creating spatial 
      coherence in the output image. To enhance temporal coherence, the resulting 
      texture is high-pass filtered with noise jittering and then fed forward 
      as the input texture to the next SCAP. Figure 2 
      shows the UFLIC pipeline. | 
  
   
    | UFLIC possesses the advantage of conveying very high 
      temporal-spatial coherence by scattering fed-forward texture values. Value 
      scattering along a long pathline over several time steps not only correlates 
      a considerable number of intra-frame pixels to establish strong spatial 
      coherence, but also correlates sufficient inter-frame pixels to build tight 
      temporal coherence. Texture feed-forward that takes an output frame, after 
      noise-jittered high-pass filtering, as the input texture for the next frame 
      constructs an even closer correlation between the two consecutive frames 
      to enhance temporal coherence. Flow 
      directions are clearly depicted in individual images for instantaneous flow 
      investigation and the animation is also quite smooth. The inconsistency 
      between temporal and spatial patterns in IBFV, LEA, and UFAC is successfully 
      resolved by scattering fed-forward texture values in UFLIC. In 
      addition, UFLIC can 
      be easily extended to time-varying 3D flows. The low performance 
      of UFLIC is primarily due to intensive pathline computation that typically 
      needs over 100 steps of integration for each pathline. In fact, there is 
      a huge amount of redundancy between the SCAPs of different seed particles 
      in terms of pathline integration. As shown in Figure 
      3, different particles may leave their footprints or scatter their 
      property values to a large number of common downstream pixels. Thus 
      there is a significant potential to accelerate 
      UFLIC by exploiting the pathline redundancy. In fact, we may 
      consider releasing a particle simply at point P 
      instead of at exactly the pixel center B such 
      that the red pathline can be reused to avoid the from-scratch integration 
      of the green pathline. This strategy indicates that a particle may be released 
      only at an integer time step but unnecessarily at a pixel 
      center. That is how our AUFLIC 
      version 1.0 works. We may adopt an even more ambitious mechanism 
      by which a particle may be released unnecessarily at an integer time 
      step and unnecessarily at a pixel center. That is how our 
      AUFLIC version 2.0 
      works. It is worth mentioning that version 2.0 differs from version 1.0 
      far more than in the seeding flexibility aspect. Here is a 
      table that compares UFLIC and AUFLIC 2.0 to reveal why the latter 
      is an order-of-magnitude faster than the former, compared to AUFLIC 1.0 
      that achieves 2X speedup over UFLIC. |