12.1.4.4.2 Stereo and Depth Using Thermal and Visible, 3D Features, Objects

Chapter Contents (Back)
Sensor Fusion. Infrared. Thermal Imaging. Stereo. Depth.
See also Fusion, General Multi-Modal.

Nandhakumar, N., Aggarwal, J.K.,
Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation,
PIEEE(85), No. 1, January 1997, pp. 147-163. 9701
BibRef
Earlier:
Integrating Information from Thermal and Visual Images for Scene Analysis,
SPIE(635), 1986, pp. 132-142.
See also Integrated Analysis of Thermal and Visual Images for Scene Interpretation. BibRef

Nandhakumar, N., and Aggarwal, J.K.,
Thermal and Visual Information Fusion for Outdoor Scene Perception,
CRA88(1306-1308). BibRef 8800

Nandhakumar, N., Karthik, S., Aggarwal, J.K.,
Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis,
PR(27), No. 10, October 1994, pp. 1303-1316.
Elsevier DOI Sensor Fusion. BibRef 9410

Aggarwal, J.K., and Nandhakumar, N.,
Multisensor Fusion for Automatic Scene Interpretation,
AIRI90(339-361). BibRef 9000

Nandhakumar, N., Malik, S.,
Multisensor Integration for Underwater Scene Classification,
AppIntel(5), No. 3, July 1995, pp. 207-216. BibRef 9507

Nandhakumar, N.,
Robust Feature Evaluation For Multisensory Computer Vision,
ICPR92(II:446-449).
IEEE DOI BibRef 9200

Michel, J., Nandhakumar, N.,
Unified 3D Models for Multisensor Image Synthesis,
GMIP(57), No. 4, July 1995, pp. 283-302. BibRef 9507

Oh, C., Nandhakumar, N., and Aggarwal, J.K.,
Integrated Modelling of Thermal and Visual Image Generation,
CVPR89(356-362).
IEEE DOI Sensor Fusion. More on sensor fusion. BibRef 8900

Nandhakumar, N., and Aggarwal, J.K.,
Integrated Analysis of Thermal and Visual Images for Scene Interpretation,
PAMI(10), No. 4, July 1988, pp. 469-481.
IEEE DOI BibRef 8807
Earlier:
Multisensor Fusion for Scene Perception: Integrating Thermal and Visual Imagery,
Univ. of TexasTR-87-9-41, August 1987. BibRef
Multisensor Integration: Experiments in Integrating Thermal and Visual Sensors,
ICCV87(83-92). Sensor Fusion. Combining thermal and visible to get better segmentations and classifications, the two are done together. It uses temperature characteristics etc.
See also Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation. BibRef

Flynn, A.M.,
Combining Sonar and Infrared Sensors for Mobile Robot Navigation,
IJRR(7), No. 6, 1988, pp. 5-14. BibRef 8800

Ricchetti, E.,
Visible-infrared and radar imagery fusion for geological application: A new approach using DEM and sun-illumination model,
JRS(22), No. 11, July 2001, pp. 2219-2230. 0201
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], Torabi, A.[Atousa], Morin, F.,
Visible and infrared image registration using trajectories and composite foreground images,
IVC(29), No. 1, January 2011, pp. 41-50.
Elsevier DOI 1011
Infrared; Registration; Multi-sensors; Trajectories; Foreground images BibRef

Morin, F.[François], Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
Automatic Registration of Color and Infrared Videos Using Trajectories Obtained from a Multiple Object Tracking Algorithm,
CRV08(311-318).
IEEE DOI 0805
BibRef

Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
Local self-similarity-based registration of human ROIs in pairs of stereo thermal-visible videos,
PR(46), No. 2, February 2013, pp. 578-589.
Elsevier DOI 1210
BibRef
Earlier:
Local self-similarity as a dense stereo correspondence measure for themal-visible video registration,
OTCBVS11(61-67).
IEEE DOI 1106
BibRef
Earlier:
A Multiple Hypothesis Tracking Method with Fragmentation Handling,
CRV09(8-15).
IEEE DOI 0905
Local self-similarity; Mutual information; Multimodal video registration; Dense stereo correspondence; Thermal camera; Visible camera; Visual surveillance BibRef

Torabi, A.[Atousa], Massé, G.[Guillaume], Bilodeau, G.A.[Guillaume-Alexandre],
An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications,
CVIU(116), No. 2, February 2012, pp. 210-221.
Elsevier DOI 1201
BibRef
Earlier:
Feedback scheme for thermal-visible video registration, sensor fusion, and people tracking,
OTCBVS10(15-22).
IEEE DOI 1006
Thermal camera; Visible camera; Thermal-visible image registration; Sensor fusion; Multiple people tracking BibRef

Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
A LSS-based registration of stereo thermal-visible videos of multiple people using belief propagation,
CVIU(117), No. 12, 2013, pp. 1736-1747.
Elsevier DOI 1310
IR camera BibRef

Sonn, S.[Socheat], Bilodeau, G.A.[Guillaume-Alexandre], Galinier, P.[Philippe],
Fast and Accurate Registration of Visible and Infrared Videos,
PBVS13(308-313)
IEEE DOI 1309
Multimodal; Registration; Visual/Thermal BibRef

Barrera, F.[Fernando], Lumbreras, F.[Felipe], Sappa, A.D.[Angel D.],
Multispectral piecewise planar stereo using Manhattan-world assumption,
PRL(34), No. 1, 1 January 2013, pp. 52-61.
Elsevier DOI 1211
BibRef
Earlier:
Evaluation of Similarity Functions in Multimodal Stereo,
ICIAR12(I: 320-329).
Springer DOI 1206
BibRef
And:
Multimodal template matching based on gradient and mutual information using scale-space,
ICIP10(2749-2752).
IEEE DOI 1009
Multispectral stereo rig; Dense disparity maps from multispectral stereo; Color and infrared images BibRef

Pistarelli, M.D.[Marcelo D.], Sappa, A.D.[Angel D.],
Multispectral Stereo Image Correspondence,
CAIP13(II:217-224).
Springer DOI 1311
BibRef

Barrera, F.[Fernando],
Multimodal Stereo from Thermal Infrared and Visible Spectrum,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Madeo, S.[Simone], Pelliccia, R.[Riccardo], Salvadori, C.[Claudio], del Rincon, J.M.[Jesus Martinez], Nebel, J.C.[Jean-Christophe],
An optimized stereo vision implementation for embedded systems: application to RGB and infra-red images,
RealTimeIP(12), No. 4, December 2016, pp. 725-746.
Springer DOI 1612
BibRef

Guo, Y.[Yubin], Qi, X.L.[Xin-Lei], Xie, J.[Jin], Xu, C.Z.[Cheng-Zhong], Kong, H.[Hui],
Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras,
ITS(24), No. 10, October 2023, pp. 10937-10947.
IEEE DOI 2310
BibRef


Anwar, N.[Noreen], Duplessis-Guindon, P.[Philippe], Bilodeau, G.A.[Guillaume-Alexandre], Bouachir, W.[Wassim],
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette,
PBVS23(394-402)
IEEE DOI 2309
BibRef

Treible, W., Saponaro, P., Sorensen, S., Kolagunda, A., O'Neal, M., Phelan, B., Sherbondy, K., Kambhamettu, C.,
CATS: A Color and Thermal Stereo Benchmark,
CVPR17(134-142)
IEEE DOI 1711
Benchmark testing, Calibration, Cameras, Cats, Image color analysis, Laser radar, BibRef

Nguyen, D.L., St-Charles, P.L., Bilodeau, G.A.,
Non-planar Infrared-Visible Registration for Uncalibrated Stereo Pairs,
PBVS16(329-337)
IEEE DOI 1612
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion, Radar Data, SAR Data with Visible Imagery .


Last update:Apr 18, 2024 at 11:38:49