The onhw dataset: Online handwriting recognition from imu-enhanced ballpoint pens with machine learning
This paper presents a handwriting recognition (HWR) system that deals with online
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
HBF49 feature set: A first unified baseline for online symbol recognition
A Delaye, E Anquetil - Pattern Recognition, 2013 - Elsevier
As the rise of pen-enabled interfaces is accompanied with an increased number of
techniques for recognition of pen-based input, recent trends in symbol recognition show an …
techniques for recognition of pen-based input, recent trends in symbol recognition show an …
Enabling my robot to play pictionary: Recurrent neural networks for sketch recognition
RK Sarvadevabhatla, J Kundu - Proceedings of the 24th ACM …, 2016 - dl.acm.org
Freehand sketching is an inherently sequential process. Yet, most approaches for hand-
drawn sketch recognition either ignore this sequential aspect or exploit it in an ad-hoc …
drawn sketch recognition either ignore this sequential aspect or exploit it in an ad-hoc …
Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition
Sketches in existing large-scale datasets like the recent QuickDraw collection are often
stored in a vector format, with strokes consisting of sequentially sampled points. However …
stored in a vector format, with strokes consisting of sequentially sampled points. However …
Sketch-R2CNN: An attentive network for vector sketch recognition
Freehand sketching is a dynamic process where points are sequentially sampled and
grouped as strokes for sketch acquisition on electronic devices. To recognize a sketched …
grouped as strokes for sketch acquisition on electronic devices. To recognize a sketched …
Freehand sketch recognition using deep features
RK Sarvadevabhatla, RV Babu - arXiv preprint arXiv:1502.00254, 2015 - arxiv.org
Freehand sketches often contain sparse visual detail. In spite of the sparsity, they are easily
and consistently recognized by humans across cultures, languages and age groups …
and consistently recognized by humans across cultures, languages and age groups …
Scalable image quality assessment with 2D mel-cepstrum and machine learning approach
Measurement of image quality is of fundamental importance to numerous image and video
processing applications. Objective image quality assessment (IQA) is a two-stage process …
processing applications. Objective image quality assessment (IQA) is a two-stage process …
Sketched symbol recognition with auto-completion
Sketching is a natural mode of communication that can be used to support communication
among humans. Recently there has been a growing interest in sketch recognition …
among humans. Recently there has been a growing interest in sketch recognition …
Sketched symbol recognition using latent-dynamic conditional random fields and distance-based clustering
In this paper we propose a two-stage method for recognizing sketched symbols that
combine the use of a discriminative model, for labeling symbol strokes and a distance-based …
combine the use of a discriminative model, for labeling symbol strokes and a distance-based …
Active learning for sketch recognition
E Yanık, TM Sezgin - Computers & Graphics, 2015 - Elsevier
The increasing availability of pen-based tablets, and pen-based interfaces opened the
avenue for computer graphics applications that can utilize sketch recognition technologies …
avenue for computer graphics applications that can utilize sketch recognition technologies …