5/7/2023 0 Comments Datastruction shred companyThis is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (specifically, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). Following these three steps, the shredded original document can be reconstructed automatically. Lastly, by revising the eduction algorithms into upward and downward directions, all rows can be putted back into the original document in the right order. Considering the special cases of 'endless loop' as well as 'false searching' at this stage, the corresponding methods of fixed-distance-based clustering analysis and pattern recognition are given. ![]() Then follows the searching of the adjacent document piece by the help of rightward-eduction algorithm and hence all rows in the original document are reconstructed. Firstly, the document pieces, which are in the first column of the original document, are picked out by the blank-area-searching algorithm. Designed for effectively solving this problem, this paper attempts to develop an automatic reconstructing method by discomposing the process into three parts, which are tackled with by different algorithms respectively. Therefore, it is important to develop an effective method basing on intelligent algorithms. This process, however, can hardly be finished merely by human efforts. The technique of shredded documentation reconstruction is widely used in different areas such as military affairs and archaeology. We identify a functional task taxonomy leading to design considerations for constructing deshredding solutions, and describe how Deshredder applies to problems from the DARPA Shredder Challenge through expert evaluations. More importantly, Deshred-der's interface support visual analytics through user interaction with similarity matrices as well as higher level assembly through more complex stitching functions. Deshredder represents shredded pieces as time series and uses nearest neighbor matching techniques that enable matching both the contours of shredded pieces as well as the content of shreds themselves. We describe Deshredder, a visual analytic approach that scales well and effectively incorporates user input to direct the reconstruction process. ![]() ![]() Existing approaches to reconstructing shredded documents adopt either a predominantly manual (e.g., crowd-sourcing) or a near automatic approach. Creating a better document reconstruction system enables not just recovery of information accidentally lost but also understanding our limitations against adversaries' attempts to gain access to information. Reconstruction of shredded documents remains a significant challenge. Experiments conducted with real mechanically-shredded documents showed that our approach outperformed in accuracy other popular techniques in literature considering documents with (almost) only textual content. The system proposed here addresses this issue by exploring character shapes as visual features for compatibility computation. This problem is also more challenging for text documents, such as business letters or legal documents, since they depict poor color information. ![]() In this context, a central issue is the quantification of the fitting between the pieces (strips), which generally involves stating a function that associates a pair of strips to a real value indicating the fitting quality. The reconstruction of strips-shredded documents is accomplished by horizontally splicing pieces so that the arising sequence (solution) is as similar as the original document. Computational methods to solve this problem are highly desirable in order to mitigate the time-consuming human effort, and to preserve document integrity. Digital reconstruction of mechanically-shredded documents has received increasing attention in the last years mainly for historical and forensics needs.
0 Comments
Leave a Reply. |