Computational support for sketching in design: a review

G Johnson, MD Gross, J Hong… - Foundations and Trends …, 2009 - nowpublishers.com
Computational support for sketching is an exciting research area at the intersection of
design research, human–computer interaction, and artificial intelligence. Despite the …

[PDF][PDF] Understanding the consistency of users' pen and finger stroke gesture articulation

L Anthony, RD Vatavu… - Proceedings of Graphics …, 2013 - researchgate.net
Little work has been done on understanding the articulation patterns of users' touch and
surface gestures, despite the importance of such knowledge to inform the design of gesture …

On-line hand-drawn electric circuit diagram recognition using 2D dynamic programming

G Feng, C Viard-Gaudin, Z Sun - Pattern Recognition, 2009 - Elsevier
In order to facilitate sketch recognition, most online existing works assume that people will
not start to draw a new symbol before the current one has been finished. We propose in this …

Sketch recognition in interspersed drawings using time-based graphical models

TM Sezgin, R Davis - Computers & Graphics, 2008 - Elsevier
Sketching is a natural mode of interaction used in a variety of settings. With the increasing
availability of pen-based computers, sketch recognition has gained attention as an enabling …

Hand drawn optical circuit recognition

M Rabbani, R Khoshkangini… - Procedia Computer …, 2016 - Elsevier
Electrical diagram is foundation of studies in electrical science. A circuit diagram convey
many information about the system. Behind any device there are plenty of electrical …

[LIVRE][B] Tiling a polygon with rectangles

C Kenyon, R Kenyon - 1992 - Citeseer
We study the problem of tiling a simple polygon of surface n with rectangles of given types
(tiles). We present a linear time algorithm for deciding if a polygon can be tiled with 1 m and …

Deep Learning-based Framework for Power Converter Circuit Identification and Analysis

B Bohara, HS Krishnamoorthy - IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces a deep learning-based framework for identifying hand-drawn
schematics of power converter circuits and performing automated simulations. The …

Sketched symbol recognition using latent-dynamic conditional random fields and distance-based clustering

V Deufemia, M Risi, G Tortora - Pattern Recognition, 2014 - Elsevier
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 …

An agent-based framework for sketched symbol interpretation

G Casella, V Deufemia, V Mascardi… - Journal of Visual …, 2008 - Elsevier
Recognizing hand-sketched symbols is a definitely complex problem. The input drawings
are often intrinsically ambiguous, and require context to be interpreted in a correct way …

Teach machine to learn: hand-drawn multi-symbol sketch recognition in one-shot

C Pan, J Huang, J Gong, C Chen - Applied Intelligence, 2020 - Springer
The ability to sequentially learn from few examples and re-utilize previous knowledge is an
important milestone on the path to artificial general intelligence. In this paper, we propose …