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51#
發(fā)表于 2025-3-30 08:48:18 | 只看該作者
Human Perception in Segmentation of Sketches,oduce a benchmarking method for segmentation algorithms. The criterion is to minimise the differences between what the algorithm detects and what human beings perceive. We have created a set of sketched drawings and have asked people to segment them. By analysis of the produced segmentations, we hav
52#
發(fā)表于 2025-3-30 14:44:54 | 只看該作者
SSP: Sketching Slide Presentations, a Syntactic Approach, have to be able to represent this knowledge in an understandable way. There exists a lot of commercial software that allows to create our own slide presentations but the creativity of the user is rather limited. In this article we present an application that allows the user to create and visualize
53#
發(fā)表于 2025-3-30 19:31:01 | 只看該作者
54#
發(fā)表于 2025-3-30 23:53:45 | 只看該作者
55#
發(fā)表于 2025-3-31 03:48:34 | 只看該作者
A New Minimum Trees-Based Approach for Shape Matching with Improved Time Computing: Application to ure, it seems to have many desirable properties. Recognition invariance in front shift, rotated and noisy shape was checked through median scale tests related to GREC symbol reference database. Even if extracting the topology of a shape by mapping the shortest path connecting all the pixels seems to
56#
發(fā)表于 2025-3-31 08:25:32 | 只看該作者
Unified Pairwise Spatial Relations: An Application to Graphical Symbol Retrieval,int set, based on topology of the studied objects and thus avoids problems related to erroneous choices of reference objects while preserving symmetry. The method is robust to any type of image configuration since the directional relations are topologically guided. An automatic prototype graphical s
57#
發(fā)表于 2025-3-31 10:15:24 | 只看該作者
Real Scene Sign Recognition,ss Ratio Spectrum for recognizing real scene signs. Particularly, this method will be applied in two different ways: recognizing a multi-component sign as an whole entity or recognizing individual components separately. For the second strategy, a graph matching is used to finally decide the identify
58#
發(fā)表于 2025-3-31 14:53:32 | 只看該作者
Symbol Recognition Using a Concept Lattice of Graphical Patterns,cal patterns. Each model symbol is decomposed in a set of composing graphical patterns taken as primitives. Each one of these primitives is described by boundary moment invariants. The obtained concept lattice relates which symbolic patterns compose a given graphical symbol. A Hasse diagram is deriv
59#
發(fā)表于 2025-3-31 19:25:14 | 只看該作者
Touching Text Character Localization in Graphical Documents Using SIFT,ts. Difficulties arise in graphical document recognition when text and symbol overlapped/touched. Intersection of text and symbols with graphical lines and curves occur frequently in graphical documents and hence separation of such symbols is very difficult..Several pattern recognition and classific
60#
發(fā)表于 2025-3-31 22:26:25 | 只看該作者
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