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Recently, compressive sensing theory has been successfully applied in inverse synthetic aperture radar (ISAR) imaging. However, the issue of maneuvering target imaging from compressive sampling data has not been sufficiently addressed because it is difficult to jointly deal with both sparse imaging and motion compensation under compressive sampling. In this paper, we develop a novel algorithm of high-resolution...
One method was proposed for mesh refinement in surface reconstruction which can be considered as a critical problem to monocular reconstruction. The main idea of the method is the implementation can be applicable and efficient by parallelization. It is un-necessary to conform photo-consistent constrain, alternatively, time-consistency is introduced in by a view-dependent way. The experimental result...
One method was proposed in this paper which can update observed data sparsely and reconstruct the scene model densely so that the monocular vision system can observe and reconstruct the target dynamically. On one hand, by combining the classic solutions for observation systems and introducing the coher-ence-detection and the maintenance-judgment into it, sparse updating and optimization was fulfilled...
One method was proposed for recovering structure model of the object by using monocular vision equipment. The fundamental idea can be summed up as sequential reconstruction under hierarchical method. First of all, by dividing the single observation path into multiple, more details of structure can be observed. After outliers removing, these sequences can be aligned with the referenced one which can...
In view of conventional contrast enhancement algorithms usually adopt a global approach to enhance all the brightness level of the images which lead to some detailed information being lost and enhancement of the noise in noisy environment, and the remote sensing image contains a lot of low contrast and poor resolution textual information, a fuzzy contrast enhancement algorithm using fuzzy theory in...
A new MVC structure is proposed for stereo video compression.Coding performance of the MVC structures is evaluated by DPSNR (disparity peak signal-to-noise ratio) of five well-designed stereo video experiments. The experiments' results show that the classification performance, compared with the reference MVC structure, is improved in the new-designed coding structures .It is also proved by the rate-distortion...
The fundamental problem associating error resilience with vision-related technique is how to generate a plausible substitute for the unknown regions with complex and semantic structure, implicitly or explicitly by adding significant context redundancy to the coded video, subject to local similarity and global consistence in tempo-spatial domain. Following the structure-aware inpainting for image coding,...
3-D shape measurement is widely used in industry such as automatic inspection. And 3-D shape reconstruction from 2-D image(s) is a central problem in computer vision. Lots of shape reconstruction methods based on image(s) have been proposed and used in automatic inspection. A four-neighbor local linear algorithm of shape-from-shading based on Unite element method is proposed. A smooth surface, which...
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