2020
DOI: 10.1007/978-3-030-41816-8_1
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Capture, Reconstruction, and Representation of the Visual Real World for Virtual Reality

Abstract: We provide an overview of the concerns, current practice, and limitations for capturing, reconstructing, and representing the real world visually within virtual reality. Given that our goals are to capture, transmit, and depict complex real-world phenomena to humans, these challenges cover the opto-electromechancial, computational, informational, and perceptual fields. Practically producing a system for real-world VR capture requires navigating a complex design space and pushing the state of the art in each of… Show more

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Cited by 22 publications
(16 citation statements)
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“…Thus the methods are subdivided into three categories: without, explicit and implicit geometric proxy restoration. Richardt et al [22] updated a similar categorization in the form of continuum which was proposed by [25]. The synthesis approach…”
Section: Scene Synthesis Methodsmentioning
confidence: 99%
“…Thus the methods are subdivided into three categories: without, explicit and implicit geometric proxy restoration. Richardt et al [22] updated a similar categorization in the form of continuum which was proposed by [25]. The synthesis approach…”
Section: Scene Synthesis Methodsmentioning
confidence: 99%
“…Our perception of the world depends on the integration of information from multiple senses. Several works have reviewed the influence of individual senses in isolation, including sight [167], sound [191], or touch [102], which are the three key modalities in VR (see Table 5). Several surveys exist focusing on particular aspects of VR.…”
Section: Related Surveysmentioning
confidence: 99%
“…RGB-D image registration techniques are surveyed in [7] and simultaneous localization and mapping (SLAM) methods are reviewed in [35], both of which are out of scope in this survey. The subject of capturing and scanning real world objects has been extensively surveyed with a focus on RGB-D images in [8] and VR-centered capturing in [9]. The capturing and scanning of point clouds is also out of scope in this survey.…”
Section: Related Surveys and Reviewsmentioning
confidence: 99%
“…with RGB-depth (RGB-D) cameras -reviewed in various publications [7]- [9] -has seen a lot of research after the seminal publication introducing KinectFusion [10]. Many of the fusion-based systems reconstruct the scenes directly into mesh representations with an intermediate scene description based on signed distance fields (SDF) at capture time [10]- [13].…”
Section: Introductionmentioning
confidence: 99%