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The paper is devoted to design and experimental testing of adaptive algorithms for identification of the angular motion model parameters for "LAAS Helicopter Benchmark".
For the Stefan sequence, the BPSI framework is not able to estimate the motion model parameters as efficiently as for some other sequences since high camera motion occurs.
The calculated perspective motion model parameters, the bilinear interpolation method, and the up-sampled reference frames are used to obtain the warped pixel values for the relevant SI block when the perspective mode is selected.
Then, the global affine motion model parameters are transmitted to the decoder to generate the GMC estimation, which is fused with the MCFI estimation, at the block level, to obtain the final SI frame.
However, in this paper, the motion model parameters are not transmitted since they are created and used at the decoder to create a SI frame, thus allowing more powerful motion representations without any bitrate penalty.
The architecture of the proposed perspective motion estimation technique is shown in Figure 3; several key tasks are performed here, namely the estimation of the perspective motion model parameters and the selection of the best perspective transform, i.e., the perspective transform that creates (by warping) the highest quality SI block.
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Over a physiologically significant range of ankle motions, model parameters were adjustable to yield model motions that agreed with rat motions to within 2° (root mean square differences of rat and model ankle angles).
The homing method presented is based on an affine motion model whose parameters are estimated by a best matching criterion.
Since for 2D affine motion model the motion parameters cannot be smoothed independently, we have four modes in total in the constrained IMM filtering.
For example, Guo et al.[37] propose a global affine motion model with six parameters for inter-view interpolation.
In particular, the rendezvous process is divided into in-plane motion and out-plane motion based on C W equations, and the relative motion models with parameter uncertainties are established.
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