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書目名稱Graphics Recognition. Current Trends and Challenges影響因子(影響力)




書目名稱Graphics Recognition. Current Trends and Challenges影響因子(影響力)學(xué)科排名




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書目名稱Graphics Recognition. Current Trends and Challenges網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Graphics Recognition. Current Trends and Challenges被引頻次




書目名稱Graphics Recognition. Current Trends and Challenges被引頻次學(xué)科排名




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書目名稱Graphics Recognition. Current Trends and Challenges讀者反饋




書目名稱Graphics Recognition. Current Trends and Challenges讀者反饋學(xué)科排名

alliance

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

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

聽寫

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.

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Graphics Recognition. Current Trends and Challenges

esoteric

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