3D Scene Geometry Estimation from 360^circ Imagery: A Survey
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Abstract (arXiv)
This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics. We first revisit the basic concepts of the spherical camera model, and review the most common acquisition technologies and representation formats suitable for omnidirectional (also called 360^circ, spherical or panoramic) images and videos. We then survey monocular layout and depth inference approaches, highlighting the recent advances in learning-based solutions suited for spherical data. The classical stereo matching is then revised on the spherical domain, where methodologies for detecting and describing sparse and dense features become crucial. The stereo matching concepts are then extrapolated for multiple view camera setups, categorizing them among light fields, multi-view stereo, and structure from motion (or visual simultaneous localization and mapping). We also compile and discuss commonly adopted datasets and figures of merit indicated for each purpose and list recent results for completeness. We conclude this paper by pointing out current and future trends.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 56 of its 236 references that are in the map. First posted on arXiv 17 Jan 2024.
Builds on
56 of 236 references.
References · 56
- 2017Attention Is All You Needcited by 59,932
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
- 2017Deformable Convolutional Networkscited by 1,481
- 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,354
- 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
- 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,264
- 2015FlowNet: Learning Optical Flow with Convolutional Networkscited by 1,054
- 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 966
- 2016Unsupervised Monocular Depth Estimation with Left-Right Consistencycited by 819
- 2014Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecturecited by 483
- 2016Semantic Scene Completion from a Single Depth Imagecited by 468
38 more
- 2018Spherical CNNscited by 452
- 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 421
- 2017Joint 2D-3D-Semantic Data for Indoor Scene Understandingcited by 404
- 2019Making Convolutional Networks Shift-Invariant Againcited by 390
- 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
- 2018An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solutioncited by 302
- 2019Structured3D: A Large Photo-realistic Dataset for Structured 3D Modelingcited by 285
- 2017Learning SO(3) Equivariant Representations with Spherical CNNscited by 244
- 2017A Survey of Structure from Motioncited by 157
- 2019HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentationcited by 107
- 2020HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Featurescited by 104
- 2018OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramascited by 98
- 2018LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Imagecited by 94
- 2021UniFuse: Unidirectional Fusion for 360circ Panorama Depth Estimationcited by 91
- 2019Tangent Images for Mitigating Spherical Distortioncited by 79
- 2019Spherical CNNs on Unstructured Gridscited by 76
- 2018DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panoramacited by 67
- 2020DeepSphere: a graph-based spherical CNNcited by 65
- 2019OpenVSLAM: A Versatile Visual SLAM Frameworkcited by 64
- 2019Corners for Layout: End-to-End Layout Recovery from 360 Imagescited by 55
- 2019Spherical View Synthesis for Self-Supervised 360 Depth Estimationcited by 51
- 2021LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Renderingcited by 42
- 2018Self-Supervised Learning of Depth and Camera Motion from 360deg Videoscited by 40
- 2018SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Imagescited by 40
- 2019360SD-Net: 360deg Stereo Depth Estimation with Learnable Cost Volumecited by 40
- 2019Monocular Depth Estimation: A Surveycited by 37
- 2018Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360deg Panoramic Imagerycited by 34
- 2019Spherical U-Net on Cortical Surfaces: Methods and Applicationscited by 34
- 2017Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of Viewcited by 25
- 2019Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Networkcited by 25
- 2018A System for Acquiring, Processing, and Rendering Panoramic Light Field Stills for Virtual Realitycited by 24
- 2019SweepNet: Wide-baseline Omnidirectional Depth Estimationcited by 24
- 2018Omnidirectional CNN for Visual Place Recognition and Navigationcited by 22
- 2019OmniMVS: End-to-End Learning for Omnidirectional Stereo Matchingcited by 21
- 2016Pano2CAD: Room Layout From A Single Panorama Imagecited by 20
- 2020OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systemscited by 18
- 2017Graph-Based Classification of Omnidirectional Imagescited by 16
- 2019Convolutions on Spherical Imagescited by 12
50 most cited of 56 All 56 (JSON)
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Citing papers per year: 2024: 3; 2025: 6; 2026: 2.
11 papers.
- 2025A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Visioncited by 23
- 2025Conditional Panoramic Image Generation via Masked Autoregressive Modelingcited by 9
- 2025EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matchingcited by 7
- 2025RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimizationcited by 4
- 2024Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaborationcited by 3
- 2024ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformerscited by 2
- 2024Deep Spherical Superpixelscited by 0
- 2025A Survey on Text-Driven 360-Degree Panorama Generationcited by 0
- 2025Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentationcited by 0
- 2026Probing CLIP's Comprehension of 360-Degree Textual and Visual Semanticscited by 0
- 2026Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modelingcited by 0
- 2026Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling26 Jun 2026
- 2026Probing CLIP's Comprehension of 360-Degree Textual and Visual Semantics27 Apr 2026
- 2025RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization28 Sep 2025
- 2025Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation24 Sep 2025
- 2025Conditional Panoramic Image Generation via Masked Autoregressive Modeling22 May 2025
- 2025EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching28 Feb 2025
- 2025A Survey on Text-Driven 360-Degree Panorama Generation20 Feb 2025
- 2025A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision11 Feb 2025
- 2024ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers2 Sep 2024
- 2024Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration18 Aug 2024
- 2024Deep Spherical Superpixels24 Jul 2024