12.1.4.3 Image and Sensor Fusion -- IR and Thermal with Visible

Chapter Contents (Back)
Fusion. Sensor Fusion. Infrared. Thermal Imaging.

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.
WWW Link. 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

Nakamura, T.[Tetsuya],
Monitoring system employing infrared image,
US_Patent5,133,605, Jul 28, 1992
WWW Link. Visible to limit IR analysis area. BibRef 9207

Li, H.H.[Hui H.], Zhou, Y.T.[Yi-Tong],
Automatic Visual/IR Image Registration,
OptEng(35), No. 2, February 1996, pp. 391-400. BibRef 9602
Earlier:
Automatic EO/IR sensor image registration,
ICIP95(II: 161-164).
IEEE DOI 9510
BibRef
And: ICIP95(III: 240-243).
IEEE DOI 9510
BibRef

Zhou, Y.T.,
Multi-sensor image fusion,
ICIP94(I: 193-197).
IEEE DOI 9411
BibRef

Toet, A., IJspeert, J.K., Waxman, A.M., Aguilar, M.,
Fusion of Visible and Thermal Imagery Improves Situational Awareness,
Displays(18), No. 2, December 30 1997, pp. 85-95. 9802
BibRef

Agassi, E., Benyosef, N.,
Influence of Scene Topography on the Observed Correlation Between Thermal Infrared and Visible/Near-Infrared Images of Ground Terrain,
JRS(18), No. 18, December 1997, pp. 3853-3865. 9801
BibRef

Guo, L.J., Moore, J.M.,
Pixel Block Intensity Modulation: Adding Spatial Detail to TM Band-6 Thermal Imagery,
JRS(19), No. 13, September 10 1998, pp. 2477-2491. 9810
BibRef

Saraf, A.K.,
RS-1C-LISS-III and PAN data fusion: an approach to improve remote sensing based mapping techniques,
JRS(20), No. 10, July 1999, pp. 1929. BibRef 9907

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince], Nandhakumar, N.,
Dominant-Subspace Invariants,
PAMI(22), No. 7, July 2000, pp. 649-662.
IEEE DOI 0008
Lie Groups. How to actually compute the invariants for some property. BibRef

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince],
Lie Group Analysis in Object Recognition,
DARPA97(1173-1178). BibRef 9700

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince],
Invariants of the LWIR Thermophysical Model,
CVBVS99(49).
IEEE DOI BibRef 9900
Earlier:
Quasi-Invariants of the Thermophysical Model,
DARPA98(883-892). BibRef

Chen, H.M., Varshney, P.K.,
Automatic two-stage IR and MMW image registration algorithm for concealed weapons detection,
VISP(148), No. 4, August 2001, pp. 209-216. 0201
BibRef

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

Segl, K., Roessner, S., Heiden, U., Kaufmann, H.,
Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data,
PandRS(58), No. 1, June 2003, pp. 99-112.
WWW Link. 0307
Urban features, green space. BibRef

Dousset, B., Gourmelon, F.,
Satellite multi-sensor data analysis of urban surface temperatures and landcover,
PandRS(58), No. 1, June 2003, pp. 43-54.
WWW Link. 0307
Energy flux of urban surface. BibRef

Gao, F., Masek, J., Schwaller, M., Hall, F.,
On the Blending of the Landsat and MODIS Surface Reflectance: Predicting Daily Landsat Surface Reflectance,
GeoRS(44), No. 8, August 2006, pp. 2207-2218.
IEEE DOI 0608
BibRef

Gautam, R.S., Singh, D., Mittal, A.,
A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique,
SIViP(1), No. 4, October 2007, pp. 347-357.
Springer DOI 0711
BibRef

Nagla, K.S., Singh, D., Uddin, M.,
Sensor fusion framework for robust occupancy grid mapping,
AIPR13(1-8)
IEEE DOI 1408
fuzzy set theory BibRef

Nagla, K.S., Uddin, M.[Moin], Singh, D.[Dilbag], Kumar, R.[Rajeev],
Object identification in dynamic environment using sensor fusion,
AIPR10(1-4).
IEEE DOI 1010
BibRef

Liu, Z.[Zheng], Laganière, R.[Robert],
Phase congruence measurement for image similarity assessment,
PRL(28), No. 1, 1 January 2007, pp. 166-172.
WWW Link. 0611
Feature extraction; Phase congruence; Image comparison; Image quality evaluation BibRef

Liu, Z.[Zheng], Laganière, R.[Robert],
Context enhancement through infrared vision: a modified fusion scheme,
SIViP(1), No. 4, October 2007, pp. 293-301.
Springer DOI 0711
BibRef
Earlier:
Registration of IR and EO Video Sequences based on Frame Difference,
CRV07(459-464).
IEEE DOI 0705
BibRef

Lee, J.H., Kim, Y.S., Lee, D., Kang, D.G., Ra, J.B.,
Robust CCD and IR Image Registration Using Gradient-Based Statistical Information,
SPLetters(17), No. 4, April 2010, pp. 347-350.
IEEE DOI 1003
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

Ulusoy, I., Yuruk, H.,
New method for the fusion of complementary information from infrared and visual images for object detection,
IET-IPR(5), No. 1, February 2011, pp. 36-48.
DOI Link 1103
BibRef

Li, X., Qin, S.Y.,
Efficient fusion for infrared and visible images based on compressive sensing principle,
IET-IPR(5), No. 2, April 2011, pp. 141-147.
DOI Link 1103
BibRef

Han, J.G.[Jun-Gong], Pauwels, E.J.[Eric J.], de Zeeuw, P.[Paul],
Visible and infrared image registration in man-made environments employing hybrid visual features,
PRL(34), No. 1, 1 January 2013, pp. 42-51.
Elsevier DOI 1211
Image registration; Line detection; Geometric analysis; Local deformation BibRef

Benes, R.[Radek], Dvorak, P.[Pavel], Faundez-Zanuy, M.[Marcos], Espinosa-Duró, V.[Virginia], Mekyska, J.[Jiri],
Multi-focus thermal image fusion,
PRL(34), No. 5, 1 April 2013, pp. 536-544.
Elsevier DOI 1303
Thermal image; Focus; Fusion BibRef

Zhang, Y.N.[Yan-Ning], Zhang, X.W.[Xiu-Wei], Maybank, S.J.[Stephen J.], Yu, R.[Rui],
An IR and visible image sequence automatic registration method based on optical flow,
MVA(24), No. 5, July 2013, pp. 947-958.
WWW Link. 1306
BibRef

Li, Z.F.[Zhi-Feng], Gong, D.H.[Di-Hong], Qiao, Y.[Yu], Tao, D.,
Common Feature Discriminant Analysis for Matching Infrared Face Images to Optical Face Images,
IP(23), No. 6, June 2014, pp. 2436-2445.
IEEE DOI 1406
face recognition BibRef

Li, Z.F.[Zhi-Feng], Gong, D.H.[Di-Hong], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng],
Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition,
IP(24), No. 9, September 2015, pp. 2736-2745.
IEEE DOI 1506
face recognition BibRef

Gong, D.H.[Di-Hong], Li, Z.F.[Zhi-Feng], Huang, W., Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng],
Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach,
IP(26), No. 5, May 2017, pp. 2079-2089.
IEEE DOI 1704
Data mining BibRef

Raza, S.E.A.[Shan-E-Ahmed], Sanchez, V.[Victor], Prince, G.[Gillian], Clarkson, J.P.[John P.], Rajpoot, N.M.[Nasir M.],
Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain,
PR(48), No. 7, 2015, pp. 2119-2128.
Elsevier DOI 1504
Thermal and visible image registration BibRef

Xu, L.[Liang], Du, J.P.[Jun-Ping], Zhang, Z.H.[Zhen-Hong],
Infrared-visible video fusion based on motion-compensated wavelet transforms,
IET-IPR(9), No. 4, 2015, pp. 318-328.
DOI Link 1505
image fusion BibRef

Sutour, C.[Camille], Aujol, J.F.[Jean-François], Deledalle, C.A.[Charles-Alban], de Senneville, B.D.[Baudouin Denis],
Edge-Based Multi-modal Registration and Application for Night Vision Devices,
JMIV(53), No. 2, October 2015, pp. 131-150.
Springer DOI 1508
BibRef

Yan, X.[Xiang], Qin, H.L.[Han-Lin], Li, J.[Jia], Zhou, H.X.[Hui-Xin], Zong, J.G.[Jing-Guo],
Infrared and visible image fusion with spectral graph wavelet transform,
JOSA-A(32), No. 9, September 2015, pp. 1643-1652.
DOI Link 1509
Image processing BibRef

Yan, X.[Xiang], Qin, H.L.[Han-Lin], Li, J.[Jia],
Multi-focus image fusion based on dictionary learning with rolling guidance filter,
JOSA-A(34), No. 3, March 2017, pp. 432-440.
DOI Link 1703
Image processing; Digital image processing; Fusion BibRef

Bhatnagar, G.[Gaurav], Liu, Z.[Zheng],
A novel image fusion framework for night-vision navigation and surveillance,
SIViP(9), No. 1 Supp, December 2015, pp. 165-175.
WWW Link. 1601
BibRef

Li, H.G.[Hong-Guang], Ding, W.R.[Wen-Rui], Cao, X.B.[Xian-Bin], Liu, C.L.[Chun-Lei],
Image Registration and Fusion of Visible and Infrared Integrated Camera for Medium-Altitude Unmanned Aerial Vehicle Remote Sensing,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Moreno-Villamarín, D.E., Benítez-Restrepo, H.D., Bovik, A.C.,
Predicting the Quality of Fused Long Wave Infrared and Visible Light Images,
IP(26), No. 7, July 2017, pp. 3479-3491.
IEEE DOI 1706
AWGN, Databases, Distortion, Histograms, Image fusion, Sensors, Transform coding, LWIR, NSS, fusion performance, multi-resolution, image, fusion BibRef

Zhang, X.Y.[Xiao-Ye], Ma, Y.[Yong], Fan, F.[Fan], Zhang, Y.[Ying], Huang, J.[Jun],
Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition,
JOSA-A(34), No. 8, August 2017, pp. 1400-1410.
DOI Link 1708
Image processing, Digital image processing, Fusion BibRef


Toque, J.A.[Jay Arre], Okumura, K.[Koji], Shimbata, Y.[Yashuhide], Ide-Ektessabi, A.[Ari],
Visualization of Subsurface Features in Oil Paintings Using High-Resolution Visible and Near Infrared Scanned Images,
CCIW17(125-134).
Springer DOI 1704
BibRef

Yoshida, K.[Kyohei], Wang, P.[Peng], Toque, J.A.[Jay Arre], Toiya, M.[Masahiro], Ide-Ektessabi, A.[Ari],
A Simple Scanner for High Resolution Imaging of Wall Paintings,
CCIW17(135-143).
Springer DOI 1704
BibRef

Tsuchida, M.[Masaru], Yano, K.[Keiji], Hiramatsu, K.[Kaoru], Kashino, K.[Kunio],
Visualizing Lost Designs in Degraded Early Modern Tapestry Using Infra-red Image,
CCIW17(144-149).
Springer DOI 1704
BibRef

He, G., Wei, Y.,
An Anti-noise Fusion Method for the Infrared and the Visible Image Based upon Sparse Representation,
CMVIT17(12-17)
IEEE DOI 1704
image denoising 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

Li, W., Sun, X., Wu, F.,
Enhancing nighttime surveillance video via gradient fusion,
VCIP15(1-4)
IEEE DOI 1605
Cameras BibRef

Cheng, K.S.[Kai-Sheng], Lin, H.Y.[Huei-Yung],
Automatic target recognition by infrared and visible image matching,
MVA15(312-315)
IEEE DOI 1507
Cameras BibRef

Nakagawa, W.[Wataru], Matsumoto, K.[Kazuki], de Sorbier, F.[Francois], Sugimoto, M.[Maki], Saito, H.[Hideo], Senda, S.[Shuji], Shibata, T.[Takashi], Iketani, A.[Akihiko],
Visualization of Temperature Change Using RGB-D Camera and Thermal Camera,
CDC4CV14(386-400).
Springer DOI 1504
BibRef

Yang, M.Y.[Michael Ying], Qiang, Y.[Yu], Rosenhahn, B.[Bodo],
A Global-to-Local Framework for Infrared and Visible Image Sequence Registration,
WACV15(381-388)
IEEE DOI 1503
Cameras BibRef

Saponaro, P.[Philip], Sherbondy, K.[Kelly], Kambhamettu, C.[Chandra],
Concealed Target Detection with Fusion of Visible and Infrared,
ISVC14(II: 568-577).
Springer DOI 1501
BibRef

Zhang, H.[Hong], Chen, Q.J.[Quan-Jun], Yuan, D.[Ding], You, Y.H.[Yu Hu], Sun, M.G.[Min-Gui],
Fusion of Infrared and Visible Images Using 2DPCA Bases,
ACPR13(596-600)
IEEE DOI 1408
feature extraction BibRef

Nguyen, C.T., Havlicek, J.P.,
Linear adaptive infrared image fusion,
Southwest14(117-120)
IEEE DOI 1406
image fusion 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

Choi, B.S.[Bong-Seok], Ha, Y.H.[Yeong-Ho], Kim, D.C.[Dae-Chul],
Multi-spectral flash imaging using weight map,
FCV13(272-275).
IEEE DOI 1304
UV/IR and visible flash, details from UV/IR, color from flash BibRef

Changrampadi, M.H.[Mohamed H.], Yun, Y.X.[Yi-Xiao], Gu, I.Y.H.[Irene Y.H.],
Multi-class ada-boost classification of object poses through visual and infrared image information fusion,
ICPR12(2865-2868).
WWW Link. 1302
BibRef

Bae, J.M.[Jeong-Min], Ku, B.[Bonwha], Han, D.K.[David K.], Ko, H.S.[Han-Seok],
Combining Infrared and Visible Images Using Novel Transform and Statistical Information,
AVSS12(149-153).
IEEE DOI 1211
BibRef

Weinmann, M., Hoegner, L., Leitloff, J., Stilla, U., Hinz, S., Jutzi, B.,
Fusing Passive And Active Sensed Images To Gain Infrared-Textured 3D Models,
ISPRS12(XXXIX-B1:71-76).
DOI Link 1209
BibRef

Sissinto, P.[Paterne], Ladeji-Osias, J.[Jumoke],
Fusion of infrared and visible images using empirical mode decomposition and spatial opponent processing,
AIPR11(1-6).
IEEE DOI 1204
BibRef

Salamati, N.[Neda], Larlus, D.[Diane], Csurka, G.[Gabriela], Süsstrunk, S.[Sabine],
Semantic Image Segmentation Using Visible and Near-Infrared Channels,
Color12(II: 461-471).
Springer DOI 1210
BibRef

Salamati, N.[Neda], Larlus, D.[Diane], Csurka, G.[Gabriela],
Combining Visible and Near-Infrared Cues for image Categorisation,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Wang, X.[Xin], Li, G.[Gaolue],
Fusion Algorithm for Infrared-Visual Image Sequences,
ICIG11(244-248).
IEEE DOI 1109
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], St-Onge, P.L.[Pier-Luc], Garnier, R.[Romain],
Silhouette-based features for visible-infrared registration,
OTCBVS11(68-73).
IEEE DOI 1106
BibRef

Yang, G.[Guang], Yin, Y.F.[Ya-Feng], Man, H.[Hong],
Adaptive selection of visual and infra-red image fusion rules,
AIPR10(1-5).
IEEE DOI 1010
BibRef

Yoo, Y.J.[Young-Jin], Choe, W.H.[Won-Hee], Lee, S.D.[Seong-Deok],
Wide-band image guided visible-band image enhancement,
ICIP11(3405-3408).
IEEE DOI 1201
BibRef

Yoo, Y.J.[Young-Jin], Choe, W.H.[Won-Hee], Kwon, J.H.[Jae-Hyun], Park, S.C.[Sung-Chan], Lee, S.D.[Seong-Deok], Kim, C.Y.[Chang-Yong],
Low-light imaging method with visible-band and wide-band image pair,
ICIP09(2773-2776).
IEEE DOI 0911
400-700 nm with 400-1000nm. BibRef

Shao, M.[Ming], Wang, Y.H.[Yun-Hong], Wang, Y.D.[Yi-Ding],
A super-resolution based method to synthesize visual images from near infrared,
ICIP09(2453-2456).
IEEE DOI 0911
BibRef

Rasmussen, N.D.[Nathan D.], Morse, B.S.[Bryan S.], Goodrich, M.A.[Michael A.], Eggett, D.[Dennis],
Fused visible and infrared video for use in Wilderness Search and Rescue,
WACV09(1-8).
IEEE DOI 0912
BibRef

Qu, Y.H.[Yong-Hua], Zhang, Y.Z.[Yu-Zhen],
Fusing Near-Infrared Reflectance Spectrum and Dynamic Model to Estimate Vegetation Structural Parameters,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhou, X.[Xin], Liu, R.A.[Rui-An], Chen, J.[Jin],
Infrared and Visible Image Fusion Enhancement Technology Based on Multi-Scale Directional Analysis,
CISP09(1-3).
IEEE DOI 0910
BibRef

Wang, G.G.[Guo-Gang], Liu, Y.P.[Yun-Peng], Shi, Z.L.[Ze-Lin],
A Fast Hausdorff Matching Algorithm between Infrared and Optical Image Using PBIL Strategies,
CISP09(1-4).
IEEE DOI 0910
BibRef

Looney, D., Mandic, D.P.,
Fusion of visual and thermal images using complex extension of EMD,
ICDSC08(1-8).
IEEE DOI 0809
BibRef

Zhuo, S.[Shaojie], Zhang, X.P.[Xiao-Peng], Miao, X.P.[Xiao-Ping], Sim, T.[Terence],
Enhancing low light images using near infrared flash images,
ICIP10(2537-2540).
IEEE DOI 1009
BibRef

Zhang, X.P.[Xiao-Peng], Sim, T.[Terence], Miao, X.P.[Xiao-Ping],
Enhancing photographs with Near Infra-Red images,
CVPR08(1-8).
IEEE DOI 0806
BibRef

St-Onge, P.L.[Pier-Luc], Bilodeau, G.A.[Guillaume-Alexandre],
Visible and Infrared Sensors Fusion by Matching Feature Points of Foreground Blobs,
ISVC07(II: 1-10).
Springer DOI 0711
BibRef

Maclair, G., de Senneville, B.D.[B. Denis], Ries, M., Quesson, B., Desbarats, P., Benois-Pineau, J., Moonen, C.,
PCA-Based Image Registration: Application to On-Line MR Temperature Monitoring of Moving Tissues,
ICIP07(III: 141-144).
IEEE DOI 0709
BibRef

Town, C.[Christopher], Zhu, Z.G.[Zhi-Gang],
Sensor Fusion and Environmental Modelling for Multimodal Sentient Computing,
MSCSAS07(1-2).
IEEE DOI 0706
BibRef

Hrkac, T.[Tomislav], Kalafatic, Z.[Zoran], Krapac, J.[Josip],
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance,
SCIA07(383-392).
Springer DOI 0706
BibRef

Kumar, P.[Praveen], Mittal, A.[Ankush], Kumar, P.[Padam],
Fusion of Thermal Infrared and Visible Spectrum Video for Robust Surveillance,
ICCVGIP06(528-539).
Springer DOI 0612
BibRef

Charoentam, O., Patanavijit, V., Jitapunkul, S.,
A Robust Region-Based Multiscale Image Fusion Scheme for Mis-Registration Problem of Thermal and Visible Images,
ICPR06(III: 669-672).
IEEE DOI 0609
BibRef

Wang, J.G.[Jian-Gang], Sung, E., Venkateswarlu, R.[Ronda],
Registration of infra-red and visible-spectrum imagery for face recognition,
AFGR04(638-643).
WWW Link. 0411
BibRef

Wang, J.G.[Jian-Gang], Venkateswarlu, R.[Ronda],
Pose for Fusing Infrared and Visible-Spectrum Imagery,
AVBPA03(955-963).
Springer DOI 0310
BibRef

Ruiz-del-Solar, J., Soria-Frisch, A.,
Bio-inspired Framework for the Fusion of Chromatic, Infrared and Textural Information,
ICPR00(Vol III: 572-575).
IEEE DOI 0009
BibRef

Varshney, P.K.[Pramod K.], Chen, H.M.[Hua-Mei], Ramac, L.C.[Liane C.], Uner, M., Ferris, D., Alford, M.,
Registration and fusion of infrared and millimeter wave images for concealed weapon detection,
ICIP99(III:532-536).
IEEE DOI BibRef 9900

Bouzidi, S.[Sonia], Berroir, J.P.[Jean-Paul], and Herdin, I.[Isabelle],
Simultaneous Use of SPOT and NOAA-AVHRR Data for Vegetation Monitoring,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Therrien, C.W.[Charles W.], Scrofani, J., and Krebs, W.,
An Adaptive Technique for the Enhanced Fusion of Low-Light Visible with Uncooled Thermal Infrared Imagery,
ICIP97(I: 405-408).
IEEE DOI BibRef 9700

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


Last update:Sep 18, 2017 at 11:34:11