Sensing Indoor Spaces for Structured Reconstruction: Methods and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3721
Special Issue Editors
Interests: computer graphics; rendering large meshes; geometry processing; shape reconstruction
Special Issue Information
Dear Colleagues,
The last decade has witnessed an increasing effort in finding cost-effective methods for reconstructing indoor environments, a task with important applications in many fields. Digitization of indoor environments differs from the general scenario for at least two reasons. First, indoor spaces very often need a structured representation to be instrumental to applications such as the simulation of energy consumption, renovation planning, recovering of as-built conditions and so on. Second, indoor spaces can usually be characterized by features that can be used as assumptions to restrict the space of solutions, such as piecewise planarity or specific architectural priors.
Despite the substantial progress made in the past decade, many research problems remain open, mainly due to the fact that man-made indoor environments are usually the combination of different structures, permanent or not, which give rise to complex scenes where a complete acquisition and its reconstruction in terms of functional elements is not trivial.
This Special Issue encourages authors, from academia and industry, to submit new research results regarding methods and applications for structured indoor reconstruction. The Special Issue topics include, but are not limited to:
- Structured 3D reconstruction: what structured knowledge about the indoor space can we find beyond the pure geometry and appearance?
- Automatic 3D modeling: effective and automatic techniques for 3D scene understanding and modeling
- Large-scale solutions: approaches for multi-room and complex scenes, not limited to single or simple room scenes
- Data-fusion techniques: combining visual and geometric inputs
- Exploiting novel capture devices: exploring modern devices capabilities, such as spherical cameras or the latest rgb-d sensors
- Exploiting data-driven approaches: exploiting novel deep learning techniques to address indoor reconstruction tasks
- Content creation and photorealism: how do we create production-ready models and/or photorealistic rendering of the digitized areas?
- Reasoning, Planning, and Interaction: how do we use structures to reason about physical and functional properties, and to anticipate activities in a dynamic environment, in order to enable the agent to act within it?
- Applications and Systems: real-world systems, from capturing to 3D modeling
- Exploring Indoor Spaces: modalities, metaphors, and devices to explore indoor models
Dr. Fabio Ganovelli
Dr. Giovanni Pintore
Guest Editors
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Keywords
- Structured 3D reconstruction
- Automatic 3D modeling
- Large-scale solutions
- Data-fusion techniques
- Exploiting novel capture devices
- Exploiting data-driven approaches
- Content creation and photorealism
- Reasoning, Planning, and Interaction
- Applications and Systems
- Exploring Indoor Spaces
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