Earnshaw, A.M.[A. Mark],
Wong, A.K.C.[Andrew K.C.],
3-D Object Model Synthesis in a Monocular Imaging System,
AMV Strategies921992, pp. 271-287.
Find edges and junctions and match through a sequence of images
to get the 3-D models of the line drawings.
BibRef
9200
Huang, C.L.,
Pictorial Drawing Generation For Polyhedral Object Recognition Using Intensity Images,
PRL(14), 1993, pp. 121-131.
BibRef
9300
Santos, R.[Roi],
Pardo, X.M.[Xose M.],
Fdez-Vidal, X.R.[Xose R.],
Scene wireframes sketching for Unmanned Aerial Vehicles,
PR(86), 2019, pp. 354-367.
Elsevier DOI
1811
3D abstraction, Reconstruction, Line-based sketching, UAV
BibRef
Kong, N.[Naejin],
Park, K.[Kiwoong],
Goka, H.[Harshith],
Hole-robust Wireframe Detection,
WACV22(2684-2693)
IEEE DOI
2202
Training, Visualization, Image edge detection, Merging,
Predictive models, Semisupervised learning,
Low-level and Physics-based Vision
BibRef
Gillsjö, D.[David],
Flood, G.[Gabrielle],
Åström, K.[Kalle],
Semantic Room Wireframe Detection from a Single View,
ICPR22(1886-1893)
IEEE DOI
2212
Geometry, Surface reconstruction, Annotations, Semantics, Layout,
Estimation, Prediction algorithms
BibRef
Takeyama, K.[Kojiro],
3D Reconstruction of Edge Line by ICP-based Matching with Geometric
Constraints,
DICTA20(1-8)
IEEE DOI
2201
Iterative closest point algorithm, Image edge detection,
Estimation, Cameras, Robustness, Strain, SFM, spatial map, edge line,
iterative closest point algorithm
BibRef
Zhou, Y.,
Qi, H.,
Ma, Y.,
End-to-End Wireframe Parsing,
ICCV19(962-971)
IEEE DOI
2004
Code, Wireframe.
WWW Link. computational geometry, feature extraction, image segmentation,
object detection, end-to-end wireframe parsing, Training
BibRef
Huang, K.,
Wang, Y.,
Zhou, Z.,
Ding, T.,
Gao, S.,
Ma, Y.,
Learning to Parse Wireframes in Images of Man-Made Environments,
CVPR18(626-635)
IEEE DOI
1812
Junctions, Image segmentation,
Feature extraction, Image edge detection, Geometry, Task analysis
BibRef
Qian, Y.M.[Yi-Ming],
Ramalingam, S.[Srikumar],
Elder, J.H.[James H.],
LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line
Segments,
ACCV18(IV:399-416).
Springer DOI
1906
BibRef
Ranade, S.[Siddhant],
Ramalingam, S.[Srikumar],
Novel Single View Constraints for Manhattan 3D Line Reconstruction,
3DV18(625-633)
IEEE DOI
1812
computational geometry, game theory, graph theory,
image reconstruction, integer programming, linear programming,
structure from motion
BibRef
Lin, H.J.,
Huang, S.,
Lai, S.,
Chiang, C.,
Indoor Scene Layout Estimation from a Single Image,
ICPR18(842-847)
IEEE DOI
1812
Layout, Estimation, Semantics, Training, Image edge detection,
Task analysis, Pipelines
BibRef
Ienaga, N.[Naoto],
Saito, H.[Hideo],
Reconstruction of 3D Models Consisting of Line Segments,
3DModelApp16(II: 100-113).
Springer DOI
1704
BibRef
Zou, C.Q.[Chang-Qing],
Liu, J.B.[Jian-Bo],
Liu, J.Z.[Jian-Zhuang],
Precise 3D Reconstruction from a Single Image,
ACCV12(IV:271-282).
Springer DOI
1304
User first draws line drawings of object.
Use reference grid to refine focal length estimates.
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Intrinsic Image Analysis, Intrinsic Image Decomposition .