Sketch recognition

About: Sketch recognition is a research topic. Over the lifetime, 1611 publications have been published within this topic receiving 40284 citations.

How Do We Teach Young Children New Concepts via Sketching

Abstract: The authors propose a system that supports children to learn new concepts of familiar topics via their sketches on an interaction surface. The proposed system has two main subcomponents: a system of interaction surface with touch detection from depth images captured by a Kinect and a sketch recognition module based on the idea of bag-of-word model. The system provides a natural and intuitive interface for children because they can learn new concepts via sketching. With the dataset of 70 common concepts, the accuracy of the sketch recognition is 78.21% and the average response time to recognize a sketch is 0.86s. The sketch database can also be easily customized to teach new concepts to children.

SkCHI: designing sketch recognition interfaces

Abstract: Sketch recognition user interfaces currently treat the pen in the same manner as a mouse and keyboard. The aim of this workshop is to promote thought and discussion about how to move beyond this to create natural and intuitive pen-based interfaces. To this end, the workshop will include panel discussions, group discussions, and even an instructional session on drawing sketches.

Survey on implementation of enhanced uniform circular local binary pattern algorithm for sketch recognition

Abstract: In this papert to determine the uniqueness of criminal, growth in biometric technology have provide law enforcement agency other tools. but, several crimes take place where none of the information is present, but instead an eyewitness description of the crime is presented. In these circumstances, a forensic artist is commonly used to work with the eyewitness in order to draw a sketch that depicts the facial look of the criminal according to the spoken description. Forensic sketches differ from view sketches in that they are drawn by a police sketch artist using the description of the issue provided by an eyewitness. Because face sketches represent the original faces in a very short recognizable form, they play an vital role in criminal investigations, human illustration discernment, and face biometrics. Sketches used in forensic investigations are either drawn by forensic artists (forensic sketches) or created with computer software. These sketches are posted in public places and in media in hopes that some viewers will provide tips about the identity of the suspect.

A novel art gesture recognition model based on two channel region-based convolution neural network for explainable human-computer interaction understanding

Abstract: The application development of hot technology is both an opportunity and a challenge. The vision-based gesture recognition rate is low and real-time performance is poor, so various algorithms need to be studied to improve the accuracy and speed of recognition. In this paper, we propose a novel gesture recognition based on two channel region-based convolution neural network for explainable human-computer interaction understanding. The input gesture image is extracted through two mutually independent channels. The two channels have convolution kernel with different scales, which can extract the features of different scales in the input image, and then carry out feature fusion at the fully connection layer. Finally, it is classified by the softmax classifier. The two-channel convolutional neural network model is proposed to solve the problem of insufficient feature extraction by the convolution kernel. Experimental results of gesture recognition on public data sets NTU and VIVA show that the proposed algorithm can effectively avoid the over-fitting problem of training models, and has higher recognition accuracy and stronger robustness than traditional algorithms.