Realistic virtual reproductions. Image-based modelling of geometry and appearance

Martos, Antonio Luis Bonilla; Ruiz, Bernardino

doi:10.1109/digitalheritage.2013.6743722

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…The farms of distributed rendering for images of high realism and complexity will be very useful for the research so the need to have more cores is beneficial to improve the rendering time so this project can be improved in increasing the number of cores without the need to use more computers, as it has the case of [12] that uses GPU-based engines which has a greater number of cores in order to reduce time. In the rendering of the prototype, it can have imbalances in a certain number of nodes in Table II, they are appreciated five moments of imbalance in the render these are due to several factors of which it has the issue of communication between nodes, more pixels in a strip of rendering and processes outside the rendering therefore it is desirable that the participating nodes are not doing other work that weaken to have an effective result.…”

Section: Discussionmentioning

confidence: 99%

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Huamaní¹,

Condori²,

Meneses-Claudio³

et al. 2019

IJACSA

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Now-a-days, photorealistic images are demanded for the realization of scientific models, so we use rendering tools that convert three-dimensional models into highly realistic images. The problem of generating photorealistic images occurs when the three-dimensional model becomes larger and more complex, so the time to generate an image is much greater due to the limitations of hardware resources, about this problem is implemented the render farm, which consists in a set of computers interconnected by a high-speed network that provides a strip of the global image distributed in each participating computers with the intention of reducing the processing time of highly complex computational images. The research was implemented in a high-performance Beowulf group of the Universidad de Ciencias y Humanidades using a total of 18 computers. To demonstrate the efficiency of a rendering farm implementation, scalability tests were performed using a 360° equirrectangular model with a total of 67 million pixels, the work is carried out to achieve highly complex renderings in less time to benefit the direction of the research.

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Section: Discussionmentioning

confidence: 99%

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Huamaní¹,

Condori²,

Meneses-Claudio³

et al. 2019

IJACSA

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show abstract

“…We have demonstrated a practical methodology for appearance acquisition which was previously introduced in (Martos and Ruiz, 2013), and is specifically applied here for the production of reilluminable architectural orthoimages. It is suitable for outdoor situations, where the illumination can be variable and uncontrolled.…”

Section: Discussionmentioning

confidence: 99%

“…Immovable and outdoor items are normally limited to the existing and uncontrolled natural illumination. This paper demonstrates a practical methodology for appearance acquisition, previously introduced in (Martos and Ruiz, 2013), applied here specifically for the production of re-illuminable architectural orthoimages. It is suitable for outdoor environments, where the illumination is variable and uncontrolled.…”

mentioning

confidence: 99%

Acquisition and Reproduction of Surface Appearance in Architectural Orthoimages

Martos

Cachero²

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Software tools for photogrametric and multi-view stereo reconstruction are nowadays of generalized use in the digitization of architectural cultural heritage. Together with laser scanners, these are well established methods to digitize the three-dimensional geometric properties of real objects. However, the acquired photographic colour mapping of the resulting point clouds or the textured mesh cannot differentiate the proper surface appearance from the influence of the particular illumination present at the moment of the digitization. Acquisition of the actual surface appearance, separated from the existing illumination, is still a challenge for any kind of cultural heritage item, but very specially for architectural elements. Methods based on systematic sampling with commuting light patterns in a laboratory set-up are not suitable. Immovable and outdoor items are normally limited to the existing and uncontrolled natural illumination. This paper demonstrates a practical methodology for appearance acquisition, previously introduced in (Martos and Ruiz, 2013), applied here specifically for the production of re-illuminable architectural orthoimages. It is suitable for outdoor environments, where the illumination is variable and uncontrolled. In fact, naturally occurring changes in light among different images along the day are actually desired and exploited, producing an enhanced multi-layer dynamic texture that is not limited to a frozen RGB colour map. These layers contain valuable complementary information about the depth of the geometry, surface normal fine details and other illuminationdependent parameters, such as direct and indirect light and projected self-shadows, allowing an enhanced and re-illuminable ortoimage representation.

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“…Structure from Motion (SfM) has recently emerged as a viable alternative to laser scanning, and provides an accurate if less precise means of 3D modeling based on the overlap of photographs taken from multiple viewpoints (Martos andRuiz 2013, Smith et al 2013). SfM and indirect data capture methods may be useful in 3D modeling and reconstructing historic environments where precision can interfere with other project goals such as real-time navigation, exploration and interactivity.…”

Section: Challenge 3 Identify the Appropriate Level Of Precisionmentioning

confidence: 99%

Reconciling the dissonance between Historic Preservation and Virtual Reality through a Place-based Virtual Heritage system.

Bonenberger¹

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Reconciling the dissonance between Historic Preservation and Virtual Reality through a Place-based Virtual Heritage system. Danny J. Bonenberger This study explores a problematic disconnect associated with virtual heritage and the immersive 3D computer modeling of cultural heritage. The products of virtual heritage often fail to adhere to long-standing principles and recent international conventions associated with historic preservation, heritage recording, designation, and interpretation. By drawing upon the geographic concepts of space, landscape, and place, along with advances in Geographic Information Systems, first-person serious games, and head-mounted Virtual Reality platforms this study envisions, designs, implements, and evaluates a virtual heritage system that seeks to reconcile the dissonance between Virtual Reality and historic preservation. Finally, the dissertation examines the contributions and future directions of such a Place-based Virtual Heritage system in human geography and historic preservation planning and interpretation.

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Realistic virtual reproductions. Image-based modelling of geometry and appearance

Cited by 5 publications

References 10 publications

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Acquisition and Reproduction of Surface Appearance in Architectural Orthoimages

Reconciling the dissonance between Historic Preservation and Virtual Reality through a Place-based Virtual Heritage system.

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