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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Papers
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01 Jan 2004
TL;DR: S HADY allows sketch interface developers to enter new shape descriptions or debug previously created descriptions, finding both syntactic and conceptual bugs, and checks whether a shape descriptions is over-constrained by allowing the developer to draw sample shapes and then indicating which constraints are not met.
Abstract: Sketch recognition systems are currently being developed for many domains, but can be time consuming to build if they are to handle the intricacies of each domain. LADDER is a language for describing how domain shapes are drawn, displayed, and edited in a sketch recognition system for that domain. LADDER shape descriptions can be automatically translated into JAVA code to be compiled with a multi-domain sketch recognition system to create a domain specific sketch interface. In this paper we present S HADY, a graphical tool to aid in the creation and debugging of LADDER shape descriptions. S HADY allows sketch interface developers to enter new shape descriptions or debug previously created descriptions, finding both syntactic and conceptual bugs. SHADY checks to see whether a shape descriptions is over-constrained by allowing the developer to draw sample shapes and then indicating which constraints are not met. This paper also describes work in progress on debugging under-constrained descriptions by automatically generating near-miss shapes.
12 citations
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14 May 2017
TL;DR: A novel HMM-based gesture recognition scheme that can be implemented for developing an improved HCI system capable of providing enhanced performance and explores the high potential of Microsoft's Kinect sensor in gesture recognition by utilizing it in the data acquisition phase.
Abstract: Currently, gesture recognition from continuous video sequences is one of the most exciting research areas. This paper proposes a novel HMM-based gesture recognition scheme that can be implemented for developing an improved HCI system capable of providing enhanced performance. This framework explores the high potential of Microsoft's Kinect sensor in gesture recognition by utilizing it in the data acquisition phase. The primary novelty of the work lies in the choice of an active difference signature-based feature descriptor that contains time-warped information in a single sequence over the classically used geometric features. The discussed framework has been tested for 12 distinct gestures embodied by 60 different subjects and it is important to note that for all the gestures the proposed scheme has attained a fairly high recognition rate of nearly 90% which proves the worth of the present work in real time applications. Further, to check the efficacy of the newly formulated framework the performance of the same has been validated against the existing standard technologies.
12 citations
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TL;DR: Sketch recognition is applied to freehand architectural drawings to recognize the architect's intentions from a quick sketch and generate a detailed drawing.
Abstract: Sketch recognition is applied to freehand architectural drawings. The purpose is to recognize the architect's intentions from a quick sketch and generate a detailed drawing. The system can also calibrate itself to interpret the peculiar styles of each individual architect using it.
12 citations
01 May 2009
TL;DR: In this article, a high-level sketch recognition algorithm is presented that allows complete interspersing freedom, running in near real-time through early effective sub-tree pruning.
Abstract: Sketch recognition is the automated recognition of hand-drawn diagrams. When allowing users to sketch as they would naturally, users may draw shapes in an interspersed manner, starting a second shape before finishing the first. In order to provide freedom to draw interspersed shapes, an exponential combination of subshapes must be considered. Because of this, most sketch recognition systems either choose not to handle interspersing, or handle only a limited pre-defined amount of interspersing. Our goal is to eliminate such interspersing drawing constraints from the sketcher. This paper presents a high-level recognition algorithm that, while still exponential, allows for complete interspersing freedom, running in near real-time through early effective sub-tree pruning. At the core of the algorithm is an indexing technique that takes advantage of geometric sketch recognition techniques to index each shape for efficient access and fast pruning during recognition. We have stresstested our algorithm to show that the system recognizes shapes in less than a second even with over a hundred candidate subshapes on screen.
12 citations
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TL;DR: The test results showed that the proposed method can support freehand sketching based conceptual design with no limitations on drawing sequence, directions and overtraced cases while achieving a satisfactory interpretation rate.
Abstract: This paper describes a new method for recognizing overtraced strokes to 2D geometric primitives, which are further interpreted as 2D line drawings. This method can support rapid grouping and fitting of overtraced polylines or conic curves based on the classified characteristics of each stroke during its preprocessing stage. The orientation and its endpoints of a classified stroke are used in the stroke grouping process. The grouped strokes are then fitted with 2D geometry. This method can deal with overtraced sketch strokes in both solid and dash linestyles, fit grouped polylines as a whole polyline and simply fit conic strokes without computing the direction of a stroke. It avoids losing joint information due to segmentation of a polyline into line-segments. The proposed method has been tested with our freehand sketch recognition system (FSR), which is robust and easier to use by removing some limitations embedded with most existing sketching systems which only accept non-overtraced stroke drawing. The test results showed that the proposed method can support freehand sketching based conceptual design with no limitations on drawing sequence, directions and overtraced cases while achieving a satisfactory interpretation rate.
12 citations