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作者: DEBUT    時(shí)間: 2025-3-21 17:50
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





作者: alliance    時(shí)間: 2025-3-21 21:33
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.
作者: 使害怕    時(shí)間: 2025-3-22 01:18
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
作者: 聽寫    時(shí)間: 2025-3-22 04:49
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.
作者: 過份好問    時(shí)間: 2025-3-22 10:14

作者: Palpate    時(shí)間: 2025-3-22 14:38

作者: Palpate    時(shí)間: 2025-3-22 19:29

作者: Carbon-Monoxide    時(shí)間: 2025-3-22 21:56

作者: Debate    時(shí)間: 2025-3-23 05:16
Graphics Recognition. Current Trends and Challenges
作者: esoteric    時(shí)間: 2025-3-23 05:46
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
作者: yohimbine    時(shí)間: 2025-3-23 10:23

作者: 秘密會(huì)議    時(shí)間: 2025-3-23 16:06
Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documentss occur during the low-level image processing viz. binarization, skeletonization, vectorization etc. Hierarchical graph representation is a nice and efficient way to solve this kind of problem by hierarchically merging node-node and node-edge depending on the distance. But the creation of hierarchic
作者: 致敬    時(shí)間: 2025-3-23 19:56
Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Compwings. This paper presents an approach for focused symbol retrieval as step towards achieving such a goal by using concepts from image retrieval. During the off-line learning phase of the proposed approach, regions of interest are extracted from the drawings based on feature grouping. The regions ar
作者: TRACE    時(shí)間: 2025-3-23 23:36

作者: Modify    時(shí)間: 2025-3-24 04:35
Modified Weighted Direction Index Histogram Method for Schema Recognition of paper-based documents are not used effectively, and these are now still archived as paper documents in hospitals. The authors proposed document image recognition methods for medical/clinical document retrieval. We also discussed the recognition method for schema (medical line drawing) images in
作者: 欲望小妹    時(shí)間: 2025-3-24 08:31

作者: 期滿    時(shí)間: 2025-3-24 12:05
Visual Saliency and Terminology Extraction for Document Classificationt of documents. The work proposed in this paper tends to propose a new method to automatically classify documents using a saliency-based segmentation process on one hand, and a terminology extraction and annotation on the other hand. The saliency-based segmentation is used to extract salient regions
作者: Parley    時(shí)間: 2025-3-24 18:50
Unsupervised and Notation-Independent Wall Segmentation in Floor Plans Using a Combination of Statisre-annotated data for learning, and is able to segment multiple-shaped walls such as beams and curved-walls. This method results from the combination of the wall segmentation approaches [., .] presented recently by the authors. Firstly, potential straight wall segments are extracted in an unsupervis
作者: 柳樹;枯黃    時(shí)間: 2025-3-24 20:41
Detecting Recurring Deformable Objects: An Approximate Graph Matching Method for Detecting Characterre often used to represent the relations between segmented regions. The comparison of such graphs has been largely studied but graph matching strategies are essential to find, efficiently, similar patterns. In this paper, we propose a method to detect the recurring characters in comics books. We wou
作者: synchronous    時(shí)間: 2025-3-25 01:44
Runlength Histogram Image Signature for Perceptual Retrieval of Architectural Floor Plansctural drawing is characterized by the perception of lines, shapes and texture. Such visual stimuli are the basis for defining semantic concepts as space properties, symmetry, density, etc. We propose runlength histograms extracted in vertical, horizontal and diagonal directions as a characterizatio
作者: pessimism    時(shí)間: 2025-3-25 06:32

作者: 使尷尬    時(shí)間: 2025-3-25 11:19
Filtering Out Readers’ Underline in Monochromatic and Color Documents a document. This paper presents two different algorithms for underline removal. The first one addresses the case of monochromatic document images. The second algorithm is applied to remove the underline noise in recent and aged documents written on a blank sheet of white paper. Underline informatio
作者: Density    時(shí)間: 2025-3-25 14:02
Binarization with the Local Otsu Filterable on computers over time. By storing selected histogram features into each pixel position, several image filters can be calculated within constant complexity. In other words, time complexity is remarkably reduced by using more memory. While IH received much attention in the computer vision field,
作者: 松雞    時(shí)間: 2025-3-25 19:45
Improved Contour-Based Corner Detection for Architectural Floor Plansnding corners of objects in line drawing images by filtering out unnecessary points without changing the overall structure. Especially, in case of diagonal lines and corners, our method is capable of removing repetitive points. The proposed method is applied to corner detection of walls in floor pla
作者: SUGAR    時(shí)間: 2025-3-25 23:07

作者: 富饒    時(shí)間: 2025-3-26 02:12

作者: Serenity    時(shí)間: 2025-3-26 07:55
https://doi.org/10.1007/978-981-13-3552-5s occur during the low-level image processing viz. binarization, skeletonization, vectorization etc. Hierarchical graph representation is a nice and efficient way to solve this kind of problem by hierarchically merging node-node and node-edge depending on the distance. But the creation of hierarchic
作者: aviator    時(shí)間: 2025-3-26 10:21
https://doi.org/10.1007/1-4020-2031-7wings. This paper presents an approach for focused symbol retrieval as step towards achieving such a goal by using concepts from image retrieval. During the off-line learning phase of the proposed approach, regions of interest are extracted from the drawings based on feature grouping. The regions ar
作者: Initiative    時(shí)間: 2025-3-26 14:49
https://doi.org/10.1007/978-3-540-36763-5bile reading and multi-modal search. Document understanding in this domain is challenging as comics are semi-structured documents, with semantic information shared between the graphical and textual parts. Speech balloon contour analysis reveals the speech tone which is an essential step towards a fu
作者: Congregate    時(shí)間: 2025-3-26 19:12
https://doi.org/10.1007/978-3-319-54957-6 of paper-based documents are not used effectively, and these are now still archived as paper documents in hospitals. The authors proposed document image recognition methods for medical/clinical document retrieval. We also discussed the recognition method for schema (medical line drawing) images in
作者: photopsia    時(shí)間: 2025-3-27 00:07

作者: 易受刺激    時(shí)間: 2025-3-27 02:44
https://doi.org/10.1007/978-3-658-28458-9t of documents. The work proposed in this paper tends to propose a new method to automatically classify documents using a saliency-based segmentation process on one hand, and a terminology extraction and annotation on the other hand. The saliency-based segmentation is used to extract salient regions
作者: DEVIL    時(shí)間: 2025-3-27 05:28

作者: 轉(zhuǎn)換    時(shí)間: 2025-3-27 13:04
https://doi.org/10.1007/978-3-031-13858-4re often used to represent the relations between segmented regions. The comparison of such graphs has been largely studied but graph matching strategies are essential to find, efficiently, similar patterns. In this paper, we propose a method to detect the recurring characters in comics books. We wou
作者: 比賽用背帶    時(shí)間: 2025-3-27 14:09

作者: Tincture    時(shí)間: 2025-3-27 19:05

作者: 不透氣    時(shí)間: 2025-3-28 00:20
https://doi.org/10.1007/978-3-8349-9871-2 a document. This paper presents two different algorithms for underline removal. The first one addresses the case of monochromatic document images. The second algorithm is applied to remove the underline noise in recent and aged documents written on a blank sheet of white paper. Underline informatio
作者: chondromalacia    時(shí)間: 2025-3-28 06:02

作者: 提名    時(shí)間: 2025-3-28 07:27

作者: 滔滔不絕的人    時(shí)間: 2025-3-28 14:06
https://doi.org/10.1007/978-3-031-31230-4rception process and tested it with perspective line drawings derived from engineering sketches of polyhedral objects. The new algorithm is fast, easily-implemented, returns the approximate locations of the main vanishing points and identifies those groups of lines in 2D which correspond to groups of parallel edges in the 3D object.
作者: 鐵塔等    時(shí)間: 2025-3-28 16:40

作者: interrupt    時(shí)間: 2025-3-28 21:37
https://doi.org/10.1007/978-3-658-05422-9ns which in turn are used for detection of wall edges. To evaluate the effectiveness of detected corners, gap closing and wall edge detection is performed on a publicly available dataset of 90 floor plans, where we achieved a recognition and detection accuracy of 95?%.
作者: Somber    時(shí)間: 2025-3-29 02:50

作者: 商業(yè)上    時(shí)間: 2025-3-29 04:31

作者: agglomerate    時(shí)間: 2025-3-29 07:25

作者: 著名    時(shí)間: 2025-3-29 14:11
https://doi.org/10.1007/978-981-13-3552-5rarchical graph as a function of distance and proposes a modified algorithm for matching subgraphs of the hierarchical graphs. The plausibility-annotated nodes help to improve the performance of the matching algorithm on two hierarchical structures. To show the potential of this approach, we conduct an experiment with the SESYD dataset.
作者: abstemious    時(shí)間: 2025-3-29 18:31

作者: 下邊深陷    時(shí)間: 2025-3-29 21:01

作者: 職業(yè)拳擊手    時(shí)間: 2025-3-30 01:48





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