A Three-Level Approach to Texture Mapping and Synthesis on 3D Surfaces

Schuster, Kersten; Trettner, Philip; Schmitz, P.; Kobbelt, Leif

doi:10.1145/3384542

Cited by 3 publications

(3 citation statements)

References 29 publications

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“…Although texture mapping technology can have a good effect in expressing small sample objects, for large-scale samples at the city level, using the same texture image in a large area will cause a large number of seams and repeated textures. In recent years, many scholars have solved the problem of texture synthesis of 3D texture mapping to a certain extent [13] [14].…”

Section: Texture Mappingmentioning

confidence: 99%

A method for generating procedural seamless textures

Wang²,

Qi³

et al. 2022

Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022)

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Textures are an important element to simulate real scenes. When textures are applied to each scene, the most important step to more realistic simulation of the real world is to solve the sense of repetition caused by texture tiling. Therefore, in order to simplify the process of texture image production and deal with the seams when texture tiling, this paper improves the traditional procedural texture generation algorithm based on the traditional one. First, this paper proposes an imagebased method to deal with the seam problem caused by structured texture tiling, and also proposes a new algorithm to solve the texture repetition problem caused by large-scale tiling. The algorithm synthesizes infinite outputs with the same appearance using random texture blocks as inputs, with random textures, such as overlapping rocks, rocks, grass, etc. Experimental results show that the algorithm can obtain high-quality texture output while the image seamless processing steps are substantially reduced.

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Section: Texture Mappingmentioning

confidence: 99%

A method for generating procedural seamless textures

Wang²,

Qi³

et al. 2022

Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022)

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“…Our work mapping 3-D material property distributions to surface color relates to spatially varying texture synthesis methods that correlate variations in geometric shape with diffuse color. Examples use dimensionality reduction of overcomplete feature sets [45], local neighborhood examples [34], 2-D texture samples [51] or texture extraction [32] to create geometry consistent textures with minimal artifacts.…”

Section: Related Workmentioning

confidence: 99%

“…Less cumbersome alternatives [41,42,71] use mesh colors and hardware acceleration to avoid uv-mapping, but still require appearance data from a source. Procedural methods produce reasonably randomized textures [16,31,51] but are not adaptable to the original pattern if its color is unknown and the pattern is unique.…”

Section: Introductionmentioning

confidence: 99%

3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials

Ranjan¹,

Toler‐Franklin²

2021

Preprint

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Fig. 1. A conceptual overview of our approach. We learn the relationships between (c) the material structure and (b) the appearance on a source patch and adapt it to (d) the material structure of a target patch to reconstruct (f) its appearance.We propose a 3-D material style transfer framework for reconstructing invisible (or faded) appearance properties in complex natural materials. Our algorithm addresses the technical challenge of transferring appearance properties from one object to another of the same material when both objects have intricate, noncorresponding color patterns. Eggshells, exoskeletons, and minerals, for example, have patterns composed of highly randomized layers of organic and inorganic compounds. These materials pose a challenge as the distribution of compounds that determine surface color changes from object to object and within local pattern regions. Our solution adapts appearance observations from a material property distribution in an exemplar to the material property distribution of a target object to reconstruct its unknown appearance. We use measured reflectance in 3-D bispectral textures to record changing material property distributions. Our novel implementation of spherical harmonics uses principles from chemistry and biology to learn relationships between color (hue and saturation) and material composition and concentration in an exemplar. The encoded relationships are transformed to the property distribution of a target for color recovery and material assignment. Quantitative and qualitative evaluation methods show that we replicate color patterns more accurately than methods that only rely on shape correspondences and coarse-level perceptual differences. We demonstrate applications of our work for reconstructing color in extinct fossils, restoring faded artifacts and generating synthetic textures.

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A New Perspective on Enriching Augmented Reality Experiences: Interacting with the Real World

Seo

Park²,

Park

2019

PRESENCE: Virtual and Augmented Reality

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In the last couple of years, augmented reality (AR) has become one of the most anticipated emerging technologies. The technology is becoming more intimate with people's everyday lives, and user experiences are getting more vivid year by year. However, most of the current AR experiences rely on interacting with virtual content augmented on the real world, becoming less impressive and exciting than they were in the first place. In this article, we explore a new perspective on enriching AR experiences for their emerging mature state. We first investigate interaction schemes in AR environments in detail and highlight potential features in the context of interacting with the real world. We also provide a brief discussion on technical challenges and issues to realize interacting with the real world in online AR scenarios. We believe that this article would initiate new research interests and directions for the next level of AR experiences.

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A Three-Level Approach to Texture Mapping and Synthesis on 3D Surfaces

Cited by 3 publications

References 29 publications

A method for generating procedural seamless textures

A method for generating procedural seamless textures

3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials

A New Perspective on Enriching Augmented Reality Experiences: Interacting with the Real World

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