Sentence examples for motion estimation with from inspiring English sources

Using the wavelet data, it relies on the combination of robust global motion estimation with morphological colour segmentation at a low spatial resolution.

This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models.

In this paper, we show that the conventional particle swarm optimization approach, which was originally designed to solve general optimization problems where fast convergence of the algorithm might not be a primary concern, could be modified appropriately so that it could provide accurate motion estimation with very low computational cost in the specific context of video motion estimation.

Cao, Z, Gilland, DR, Mair, BA, and Jaszczak, RJ. "3D Motion Estimation with Image Reconstruction for Gated Cardiac ECT". December 1 , 2002

Instead of using multiple search algorithms, this paper proposes a quality-stationary motion estimation with a unified search mechanism.

The basic operation of the generic subsample algorithm is to find the best motion estimation with less SAD computation.

The final solution copes with large-range motion estimations with a simplified architecture very well-suited for customized digital hardware datapath implementations as well as current multicore architectures.

The high coding efficiency is suitable for deal with sophisticated motion estimation, but with the high efficiency, the price is higher computational complexity [27, 28].

To efficiently alleviate the high-frequency aliasing problem and maintain the visual quality for video sequences with variable motion levels, we propose an adaptive motion estimation algorithm with variable subsample ratios, called the Variable Subsampling Motion Estimation VSMEE).

With a DRAM performance modeling/estimation tool and ASIC design at 65 nm, we demonstrate the energy efficiency of such 3D integrated motion estimation accelerators with a case study on HDTV multi-frame motion estimation.

To establish the temporal correspondence between neighboring frames, GMHMCF employs a noise-robust motion estimation (ME) with a pre-defined motion vector (MV) regularization term to construct multiple temporal predictions (hypotheses), which are combined with the current noisy observation through a linear optimal estimator to restore the noise-free signal.