Topic
Sketch recognition
About: Sketch recognition is a research topic. Over the lifetime, 1611 publications have been published within this topic receiving 40284 citations.
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29 Jul 2017
TL;DR: Flow2Code as mentioned in this paper is a system that allows users to draw their flowcharts directly on paper combined with a mobile phone app that takes a photo of the flowchart, interprets it, and generates and executes the resulting code.
Abstract: Flowcharts play an important role when learning to program by conveying algorithms graphically and making them easy to read and understand. Computer-based flowchart design requires the user to learn the software first, which often results in a steep learning curve. Paper-drawn flowcharts don't provide feedback. We propose a system that allows users to draw their flowcharts directly on paper combined with a mobile phone app that takes a photo of the flowchart, interprets it, and generates and executes the resulting code. Flow2Code uses off-line sketch recognition and computer vision algorithms to recognize flowcharts drawn on paper. To gain practice and feedback with flowcharts, the user needs only a pencil, white paper, and a mobile device. The paper describes a tested system and algorithmic model for recognizing and interpreting offline flowcharts as well as a novel geometric feature, Axis Aligned Score (AAS), that enables fast accurate recognition of various quadrilaterals.
5 citations
TL;DR: The recognition performances by different feature layers of pretrained VGG-Face model are explored and to accelerate the matching speed, the ball-tree algorithm is adopted to search the nearest neighbors of query sketches from gallery photos.
Abstract: Forensic face sketch-photo recognition attracts considerable interest in the law enforcement agencies. This paper proposes a new face sketch-photo recognition method based on the VGG deep feature and ball-tree searching algorithm. In this paper, the recognition performances by different feature layers of pretrained VGG-Face model are explored. In addition, to accelerate the matching speed, the ball-tree algorithm is adopted to search the nearest neighbors of query sketches from gallery photos. The experimental results on CUFS and IIIT-D datasets demonstrate the superiority of the proposed method compared with existing algorithms.
5 citations
01 Jan 2005
TL;DR: A theoretical study on automated understanding of the design drawing, outlining combined strategy of multi-agent systems and online recognition and functional structure for agents and their organisation to converge on sketch recognition.
Abstract: In this paper, we present a theoretical study on automated understanding of the design drawing. This can lead to design support through the natural interface of sketching. In earlier work, 24 plan-based conventions of depiction have been identified, such as grid, zone, axial system, contour, and element vocabulary. These are termed graphic units. Graphic units form a good basis for recognition of drawings as they combine shape with meaning. We present some of the theoretical questions that have to be resolved before an implementation can be made. The contribution of this paper is: (i) identification of domain knowledge which is necessary for recognition; (ii) outlining combined strategy of multi-agent systems and online recognition; (iii) functional structure for agents and their organisation to converge on sketch recognition.
4 citations
01 Jun 1975
TL;DR: The purpose of this paper is to survey recent developments of artificial intelligence literature to make the AI literature accessible to researchers mainly interested in computation on written text or spoken language.
Abstract: : The machine translation problem has recently been replaced by much narrower goals and computer processing of language has become part of artificial intelligence (AI), speech recognition, and structural pattern recognition. These are each specialized Computer Science research fields with distinct objectives and assumptions. The narrower goals involve making it possible for a computer user to employ a near natural-language mode for problem-solving, information retrieval, and other applications. Natural computer responses have also been created and a special term, 'understanding' has been used to describe the resulting computer/human dialogues. The purpose of this paper is to survey these recent developments to make the AI literature accessible to researchers mainly interested in computation on written text or spoken language.
4 citations
25 Feb 1991
TL;DR: An image character recognition project is described whose purpose is to investigate the applicability of artificial neural system (ANS) technology to the automated reading of account number fields from copies of credit card charge receipts.
Abstract: An image character recognition project is described whose purpose is to investigate the applicability of artificial neural system (ANS) technology to the automated reading of account number fields from copies of credit card charge receipts. The advantage of the ANS approach for such pattern recognition tasks is that it is both nonlinear and adaptive. After training with a large number of other noisy patterns, the neural network recognition system can correctly identify all of the numbers in the figure without having seen these particular images before. Although the emphasis of this proof-of-concept study is on reducing credit industry costs by improving the accuracy of recognition, this approach promises to ultimately offer a significant boost in processing speed as well. The account number processing problem, the system developed for its solution, and the analysis of its performance are described. >
4 citations