Topic
Sketch recognition
About: Sketch recognition is a research topic. Over the lifetime, 1611 publications have been published within this topic receiving 40284 citations.
Papers published on a yearly basis
Papers
More filters
•
6 citations
•
01 Sep 2012
TL;DR: This paper presents the overview of vision-based Human-Computer interfaces employing methods based on Haar-like features and proposes a Human- computer Interaction system controlled by mouth shape change.
Abstract: In everyday life human gestures are often used to communicate or enhance speech. They can be also used to enable or improve the communication between human and machine. Among the contactless human-computer interfaces (HCI) the vision-based solutions enabling for face and hand gesture recognition are the most promising ones. Haar-like object detection algorithm developed by Viola and Jones allows for rapid detection of human faces or hands in image sequences. This paper presents the overview of vision-based Human-Computer interfaces employing methods based on Haar-like features and proposes a Human-Computer Interaction system controlled by mouth shape change.
6 citations
••
TL;DR: A combined recognition method for recognizing the person identity of an active user using combined eigenspace and Gaussian mixture model (GMM) with Kinect-extracted action gesture features is proposed.
Abstract: Purpose
The Kinect sensor released by Microsoft is well-known for its effectiveness on human gesture recognition. Gesture recognition by Kinect has been proved to be an efficient command operation and provides an additional human-computer interface in addition to the traditional speech recognition. For Kinect gesture recognition in the application of gesture command operations, recognition of the active user making the gesture command to Kinect will be an extremely crucial problem. The purpose of this paper is to propose a recognition method for recognizing the person identity of an active user using combined eigenspace and Gaussian mixture model (GMM) with Kinect-extracted action gesture features.
Design/methodology/approach
Several Kinect-derived gesture features will be explored for determining the effective pattern features in the active user recognition task. In this work, a separate Kinect-derived feature design for eigenspace recognition and GMM classification is presented for achieving the optimal performance of each individual classifier. In addition to Kinect-extracted feature designs for active user recognition, this study will further develop a combined recognition method, called combined eigenspace-GMM, which properly hybridizes the decision information of both the eigenspace and the GMM for making a more reliable user recognition result.
Findings
Active user recognition using an effective combination of eigenspace and GMM with well-developed active gesture features in Kinect-based active user recognition will have an outstanding performance on the recognition accuracy. The presented Kinect-based user recognition system using the presented approach will further have the competitive benefits of recognition on both gesture commands and providing users of gesture commands.
Originality/value
A hybridized scheme of eigenspace and GMM performs better than eigenspace-alone or GMM-alone on recognition accuracy of active user recognition; a separate Kinect-derived feature design for eigenspace recognition and GMM classification is presented for achieving the optimal performance of the individual classifier; combined eigenspace-GMM active user recognition belonging to model-based active user recognition design has a fine extension on increasing the recognition rate by adjusting recognition models.
6 citations
01 Jan 2005
TL;DR: The main objective of this research was to study freehand architectural sketches and computer algorithms to develop a sketch recognition software and to apply software with basic 3D modelling.
Abstract: The main objective of this research was to study freehand architectural sketches and computer algorithms to develop a sketch recognition software and to apply software with basic 3D modelling. This research was conducted by collecting the data of sketch recognition and related software to analyst relevant information and to develop new software that would be practical for architects.
6 citations
01 Jan 2009
TL;DR: This article introduces Picturephone, a sketch-based game for collecting data on how people make anddescribes sketches, based on the technique of human computation, where players provide information about drawings in exchange for entertainment.
Abstract: This article introduces Picturephone, a sketch-based game forcollectingdataonhowpeoplemakeanddescribesketches. The approach is based on the technique of human computation, where players provide information about drawings in exchange for entertainment. The system collects raw sketch input and associates it with human-provided text descriptions. Researchers may browse and download this data for their own purposes. The proposed sketching game has users describe drawings textually in one phase followed by another phase of drawing based on a text description. To score points, users must reconstruct a drawing based on a text description or vice-versa. A third phase asks users to judge the work of other players, which awards points appropriately. The Picturephone game system architecture is briefly described, followed by a discussion of future work on sketching games as a platform for researching sketch recognition and interaction. Author Keywords Sketch recognition, human computation, games, calligraphic interfaces
6 citations