Space carving MVD sequences for modeling natural 3D scenes

Alj, Youssef; Boisson, Guillaume; Bordes, Philippe; Pressigout, Muriel; Morin, Luce

doi:10.1117/12.908608

Cited by 3 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors used image processing tools to compute the correct weights for blending. Finally, a 2D criterion for best texture selection is based on photoconsistency with the set of input images was first proposed in [1]. Their idea is based on distortion minimization between the rendered and original views.…”

Section: Related Workmentioning

confidence: 99%

“…Photoconsistency based mesh texturing was first introduced in [1]. Figure 2 illustrates the photoconsistency principle.…”

Section: Photo-consistency Based Mesh Texturingmentioning

confidence: 99%

“…The best texture is chosen as the minimizer of the photoconsistency metric. In [1] only totally visible triangles are addressed, and partially visible ones are textured using the view of the frontal camera. The novelty of the approach described in this paper is to extend the photoconsistency-based best texture computation for partially visible triangles too.…”

Section: Photo-consistency Based Mesh Texturingmentioning

confidence: 99%

“…The aim of multi-texturing is to determine the texture providing the best rendering. To this end, photoconsistency based multi-texturing was introduced in [1]. It aims to assign for each mesh triangle the best texture by minimizing the 2D distortion, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multi-texturing 3D models: How to choose the best texture?

Alj

Boisson

Bordes

et al. 2012

2012 International Conference on 3D Imaging (IC3D)

Self Cite

View full text Add to dashboard Cite

In this article, the impact of 2D based approaches for multitexturing 3D models using real images is studied. While conventional 3D based approaches assign the best texture for each mesh triangle according to geometric criteria such as triangle orientation or triangle area, 2D based approaches tend to minimize the distortion between the rendered views and the original ones. Evaluation of the two strategies is performed on real scenes for two image sequences and results are provided using the PSNR metric. Moreover, an improvement of the image-based approach is proposed for texturing partially visible triangles.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Photoconsistency based mesh texturing was first introduced in [1]. Figure 2 illustrates the photoconsistency principle.…”

Section: Photo-consistency Based Mesh Texturingmentioning

confidence: 99%

Section: Photo-consistency Based Mesh Texturingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-texturing 3D models: How to choose the best texture?

Alj

Boisson

Bordes

et al. 2012

2012 International Conference on 3D Imaging (IC3D)

Self Cite

View full text Add to dashboard Cite

show abstract

“…7,8 Well-known 3-D geometric criteria have also been demonstrated such as the angle between a triangle normal and the viewing frustum, distance to the camera, surface area of a triangle face, and even photoconsistency metrics. 6,[9][10][11] These methods have all been explored and ranked. 12 A combination of these metrics, referred to as the "reliability" of the texture, would allow overlapping texture fragments (pixels) to be hidden, exposed, or blended according to their computed measure of reliability.…”

Section: Introductionmentioning

confidence: 99%

Dynamic visualization of three-dimensional images from multiple texel images created from fused ladar/digital imagery

Killpack

Budge

2016

Opt. Eng

View full text Add to dashboard Cite

The ability to create three-dimensional (3-D) image models, using registered texel images (fused ladar and digital imagery), is an important topic in remote sensing. These models are automatically generated by matching multiple texel images into a single common reference frame. However, rendering a sequence of independently registered texel images often provides challenges. Although accurately registered, the model textures are often incorrectly overlapped and interwoven when using standard rendering techniques. Consequently, corrections must be done after all the primitives have been rendered by determining the best texture for any viewable fragment in the model. This paper describes a technique to visualize a 3-D model image created from a set of registered texel images. The visualization is determined for each viewpoint. It is, therefore, necessary to determine which textures are overlapping and how to best combine them dynamically during the rendering process. The best texture for a particular pixel can be defined using 3-D geometric criteria, in conjunction with a real-time, view-dependent ranking algorithm. As a result, overlapping texture fragments can now be hidden, exposed, or blended according to their computed measure of reliability. The advantages of this technique are illustrated using artificial and real data examples.

show abstract

Texturing of digital surface maps (DSMs) by selecting the texture from multiple perspective texel swaths taken by a low-cost small unmanned aerial vehicle (UAV)

Khatiwada¹,

Budge²

2019

Laser Radar Technology and Applications XXIV

View full text Add to dashboard Cite

Space carving MVD sequences for modeling natural 3D scenes

Cited by 3 publications

References 0 publications

Multi-texturing 3D models: How to choose the best texture?

Multi-texturing 3D models: How to choose the best texture?

Dynamic visualization of three-dimensional images from multiple texel images created from fused ladar/digital imagery

Texturing of digital surface maps (DSMs) by selecting the texture from multiple perspective texel swaths taken by a low-cost small unmanned aerial vehicle (UAV)

Contact Info

Product

Resources

About