DEBUT 发表于 2025-3-21 17:50:32

书目名称Graphics Recognition. Current Trends and Challenges影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0388119<br><br>        <br><br>书目名称Graphics Recognition. Current Trends and Challenges读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0388119<br><br>        <br><br>

alliance 发表于 2025-3-21 21:33:53

Unsupervised and Notation-Independent Wall Segmentation in Floor Plans Using a Combination of Statistive results on floor plans directly downloaded from the Internet are reported in the paper. The overall performance of the method demonstrates either its adaptability to different wall notations and shapes, and to document qualities and resolutions.

使害怕 发表于 2025-3-22 01:18:42

Detecting Recurring Deformable Objects: An Approximate Graph Matching Method for Detecting Characteress consists in a node matching step and an edge validation step. Experiments show that our approach is able to detect recurring structures in the graph and consequently the recurrent characters in a comics book. The originality of our approach is that no prior object model is required the character

听写 发表于 2025-3-22 04:49:53

Runlength Histogram Image Signature for Perceptual Retrieval of Architectural Floor Plansely in this paper. Its good description and its adaptability to two different sketch drawings despite its simplicity shows the interest of the proposed approach and opens a challenging research line in graphics recognition.

过份好问 发表于 2025-3-22 10:14:25

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Palpate 发表于 2025-3-22 14:38:35

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Palpate 发表于 2025-3-22 19:29:29

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Carbon-Monoxide 发表于 2025-3-22 21:56:43

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Debate 发表于 2025-3-23 05:16:15

Graphics Recognition. Current Trends and Challenges

esoteric 发表于 2025-3-23 05:46:33

Spotting Graphical Symbols in Camera-Acquired Documents in Real Timeher matching of ORB compact local features computed over interest key-points. Then, the FLANN indexing framework based on approximate nearest neighbor search allows to efficiently match local descriptors between the captured scene and the graphical models. Finally, the RANSAC algorithm is used in or
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