An Entropy-Based Approach for Identifying User-Preferred Camera Positions

Marsaglia, Nicole; Kawakami, Yuya; Schwartz, S.; Fields, Stefan; Childs, Hank

doi:10.1109/ldav53230.2021.00015

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…In [19] authors propose several new entropy-based measures using quantities other than projected area for its computation, including depth, field data and shading coefficients. This work deals specifically with scientific visualization applications.…”

Section: Related Workmentioning

confidence: 99%

Viewpoint Selection for Texture Reconstruction with Inverse Rendering

Sanzharov,

Frolov

2023

Proceedings of the 33rd International Conference on Computer Graphics and Vision

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Viewpoint selection methods have a variety of applications in different fields of computer graphics and computer vision, including shape retrieval, scientific visualization, image-based modeling and others. In this paper we investigate the applicability of existing viewpoint selection methods to the problem of textures reconstruction using inverse rendering. First, we use forward rendering to produce path-traced images of a textured object. Then we apply different view quality metrics to select a set of images for texture reconstruction. Finally, we perform material and texture reconstruction using these image sets and evaluate the quality of the results. We show that using viewpoint selection methods allows to achieve faster inverse rendering times while maintaining quality of the results.

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Section: Related Workmentioning

confidence: 99%