Interpreting non-3-D line drawings

AbstractThis paper shows how to create a small number of natural interpretations for non-3-D line drawings. If all constraints are removed, there is an infinite number of possible interpretations. However, humans instinctively create a limited number of interpretations. In order to obtain these interpretations, it is first necessary to check whether the line drawing requires figural completion. To ensure that natural figural completion is carried out, restrictions on figural completion, possible completion paths, and an actual process for completing figures are introduced. Next, constraints are introduced to reduce the number of interpretations. These include constraints concerning line elements, duplication, connectedness, inclusiveness, closure, good figures, and line sharing. The results of a psychological experiment show that the proposed method can create a small number of natural interpretations that correspond to human visual perception fairly well

Automatic Structural Scene Digitalization

In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system applies a fusion strategy to detect and recognize various components of CAD floor plans, such as walls, doors, windows and other ambiguous assets. Technically, a general rule-based filter parsing method is fist adopted to extract effective information from the original floor plan. Then, an image-processing based recovery method is employed to correct information extracted in the first step. Our proposed method is fully automatic and real-time. Such analysis system provides high accuracy and is also evaluated on a public website that, on average, archives more than ten thousands effective uses per day and reaches a relatively high satisfaction rate.Comment: paper submitted to PloS On

Drawing by ear: interpreting sonified line graphs

The research presented here describes a pilot study into the interpretation of sonified line graphs containing two data series. The experiment aimed to discover the level of accuracy with which sighted people were able to draw sketches of the graphs after listening to them. In addition, it aimed to identify any differences in performance when the graphs were presented using different combinations of instruments?either with piano representing both data series (same-instruments condition), or with piano representing one data series and trumpet representing the other (different-instruments condition). The drawings were evaluated by calculating the percentage of key features present. The results showed that accuracy was high (over 80% on average) in both conditions, but found no significant differences between the two. There were indications of some differences between the two conditions, but a larger study is necessary to discover whether these are significant. The results indicate that graph sonification systems should allow users to choose between these two presentation modes, depending on their preference and current task. The study showed that sonified graphs containing two data series can be interpreted, and drawn, by sighted people, and that evaluation with blind users (our target users) would be worthwhile

Motion sequence analysis in the presence of figural cues

Published in final edited form as: Neurocomputing. 2015 January 5, 147: 485–491The perception of 3-D structure in dynamic sequences is believed to be subserved primarily through the use of motion cues. However, real-world sequences contain many figural shape cues besides the dynamic ones. We hypothesize that if figural cues are perceptually significant during sequence analysis, then inconsistencies in these cues over time would lead to percepts of non-rigidity in sequences showing physically rigid objects in motion. We develop an experimental paradigm to test this hypothesis and present results with two patients with impairments in motion perception due to focal neurological damage, as well as two control subjects. Consistent with our hypothesis, the data suggest that figural cues strongly influence the perception of structure in motion sequences, even to the extent of inducing non-rigid percepts in sequences where motion information alone would yield rigid structures. Beyond helping to probe the issue of shape perception, our experimental paradigm might also serve as a possible perceptual assessment tool in a clinical setting.The authors wish to thank all observers who participated in the experiments reported here. This research and the preparation of this manuscript was supported by the National Institutes of Health RO1 NS064100 grant to LMV. (RO1 NS064100 - National Institutes of Health)Accepted manuscrip

Representation of industrial products in the early stages of design: Drawing and artistic expression in industrial design

Comunicació presentada a ICERI 2018 11th annual International Conference of Education, Research and Innovation (Seville, Spain. 12-14 November, 2018)Hand drawing is a basic tool for industrial designers, as it allows them to represent and communicate concepts in an agile way during the initial design phase. Although we can find subjects related to drawing in the first years of all university degrees in industrial design, the way to implement the necessary activities is not always the most appropriate, and it may happen that, despite having practiced sketching, at the end of the course the students do not have the necessary skills to communicate their ideas effectively or adequately represent the reality that surrounds them. This paper proposes twelve groups of activities designed to help industrial design students acquire skills related to hand drawing. The activities were implemented during the second course of the Degree in Industrial Design and Product Development Engineering at Universitat Jaume I, improving those implemented during the last course. The paper analyzes and discusses the positive results of the innovations introduced, which improved the mean grade of the course by 4.48% with respect to the grade obtained the previous year

Interpretation of overtracing freehand sketching for geometric shapes

This paper presents a novel method for interpreting overtracing freehand sketch. The overtracing strokes are interpreted as sketch content and are used to generate 2D geometric primitives. The approach consists of four stages: stroke classification, strokes grouping and fitting, 2D tidy-up with endpoint clustering and parallelism correction, and in-context interpretation. Strokes are first classified into lines and curves by a linearity test. It is followed by an innovative strokes grouping process that handles lines and curves separately. The grouped strokes are fitted with 2D geometry and further tidied-up with endpoint clustering and parallelism correction. Finally, the in-context interpretation is applied to detect incorrect stroke interpretation based on geometry constraints and to suggest a most plausible correction based on the overall sketch context. The interpretation ensures sketched strokes to be interpreted into meaningful output. The interface overcomes the limitation where only a single line drawing can be sketched out as in most existing sketching programs, meanwhile is more intuitive to the user