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Ildikó Papp

dblp:123/1855 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0002-4605-8326ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 56% Multimedia analysis and retrieval · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
additive manufacturing
0.512021
Improved Embedding of QR Codes onto Surfaces to be 3D Printed · Comput. Aided Des. 2021
Multimedia analysis and retrieval
QR code embedding
0.512021
Improved Embedding of QR Codes onto Surfaces to be 3D Printed · Comput. Aided Des. 2021
Computational fabrication › machining
sculptured surface machining
0.112021
Improved Embedding of QR Codes onto Surfaces to be 3D Printed · Comput. Aided Des. 2021

Methods — techniques the papers use, named apart from their topics

surface projection · 0.53d printing · 0.5
YearPublicationVenuePosition
2022 Embedding QR Code onto Triangulated Meshes using Horizon Based Ambient Occlusion
abstract
Abstract QR code is a widely used format to encode information through images that can be easily decoded using a smartphone. These devices play a significant role in most people's everyday lives, making the encoded information widely accessible. However, decoding the QR code becomes challenging when significant deformations occur in the label. An easy and quick solution to keep the deformation on a minimum level is to affix the label that contains the QR code onto a developable surface patch of a 3D model. The perspective distortion that can appear is efficiently dealt with during the decoding process. In recent years an alternative method has emerged. In the work of Kikuchi et al., the QR code is embedded onto B‐spline surfaces of CAD models to give more freedom in providing additional information. This method was further improved and extended by Peng et al. embed QR codes onto the surface of general meshes. This paper introduces a solution to embed QR codes onto the surface of general meshes without densely triangulating the selected area of the QR code. It uses the deferred shading technique to extract the surface normals and the depth values around the QR code's user‐given centre. We propose two methods for automatically finding the projection direction even when highly curved areas are selected based on the retrieved information while rendering the model. Besides, we introduce two methods needing a projection direction and a QR code centre to determine a size for automatically embedding the QR code. We propose patterns for decreasing the carving depth of the embedded QR codes, and we use the Horizon‐Based Ambient Occlusion to speed up the engraving process. We validate our method by comparing our results to the outcomes of Peng et al.
György Papp, Miklós Hoffmann, Ildikó Papp
Comput. Graph. Forum3
2021 Improved Embedding of QR Codes onto Surfaces to be 3D Printed
abstract
Providing additional information for parts or items usually means to enclose it next to the object or affix it on the component when that is possible. However, another solution is available by gaining the benefits of an additive manufacturing technology, 3D printing. This technology makes it possible to embed the additional information onto the surface of the items, for example, in the forms of QR codes. In the work of Kikuchi et al. (2018), the QR code is embedded into CAD models that consist of B-spline surfaces by grooving its dark regions to shadow them. The method proposed by Peng et al. (2019) optimized the modules of the QR code and the depth to carve its dark modules into any general mesh. However, embedding the QR code with these methods, in some cases, especially in case of highly curved surfaces, the QR code is deformed during the process of projection onto the surface. This deformation can highly restrict the readability of the QR code. In this paper, we propose an improved method to embed QR codes onto free-form surfaces by using a low-end consumer-level 3D printer. Our aim is to provide a robust method to project the QR code onto surfaces even with high curvature. We discuss the problematic cases for the works mentioned above, and we present a process to find an optimal position and direction of projection for the QR code to avoid deformations on highly curved surfaces. To validate our method, we compare our results with the outcomes of Kikuchi et al. (2018) and Peng et al. (2019).
György Papp, Miklós Hoffmann, Ildikó Papp
Comput. Aided Des.3
2013 Isoptics of Bézier curves
Roland Kunkli, Ildikó Papp, Miklós Hoffmann
Comput. Aided Geom. Des.2