21.4.2.6.5 Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures

Chapter Contents (Back)
Gesture. Depth. Kinect. RGB-D. Three-Dimensional.

PrimeSense,
2005. Gesture recognition.
WWW Link. Vendor, Stereo. Vendor, Gesture. Hardware, Stereo. Stereo, Real time. 3-D inputs, stereo. Especially gesture systems for consumer electronics interfaces. Realtime depth, color and audio for the recognition. This work forms part of the foundation for the Kinect. Bought by Apple November 2013.

Abe, K., Saito, H., Ozawa, S.,
Virtual 3-D interface system via hand motion recognition from two cameras,
SMC-A(32), No. 4, July 2002, pp. 536-540.
IEEE Top Reference. 0301
BibRef

Tsap, L.V.[Leonid V.],
Gesture-Tracking in Real Time with Dynamic Regional Range Computation,
RealTimeImg(8), No. 2, April 2002, pp. 115-126.
DOI Link 0208
See also Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. BibRef

Yin, X.M.[Xiao-Ming], Xie, M.[Ming],
Estimation of the fundamental matrix from uncalibrated stereo hand images for 3D hand gesture recognition,
PR(36), No. 3, March 2003, pp. 567-584.
WWW Link. 0301
BibRef

Yin, X.M.[Xiao-Ming], Xie, M.[Ming],
Finger identification and hand posture recognition for human-robot interaction,
IVC(25), No. 8, 1 August 2007, pp. 1291-1300.
WWW Link. 0706
Hand finger identification; Hand posture recognition; Hand image segmentation; Human-robot interaction; Robot programming BibRef

Bray, M.[Matthieu], Koller-Meier, E.[Esther], Muller, P., Schraudolph, N.N.[Nicol N.], Van Gool, L.J.[Luc J.],
Stochastic optimisation for high-dimensional tracking in dense range maps,
VISP(152), No. 4, August 2005, pp. 501-512.
DOI Link 0512
BibRef

Bray, M.[Matthieu], Koller-Meier, E.[Esther], Schraudolph, N.N.[Nicol N.], Van Gool, L.J.[Luc J.],
Fast stochastic optimization for articulated structure tracking,
IVC(25), No. 3, March 2007, pp. 352-364.
Elsevier DOI 0701
BibRef
Earlier:
Stochastic Meta-Descent for Tracking Articulated Structures,
Non-Rigid04(7).
WWW Link. 0502
Stochastic meta-descent; Hand tracking; Deformable hand model Incorporate depth and surface orientation. BibRef

Bray, M., Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Smart particle filtering for high-dimensional tracking,
CVIU(106), No. 1, April 2007, pp. 116-129.
WWW Link. 0704
BibRef
Earlier:
Smart particle filtering for 3D hand tracking,
AFGR04(675-680).
WWW Link. 0411
Stochastic meta-descent (SMD); Importance sampling; Smart particle filter (SPF); Hand tracking BibRef

Guan, C.[Chun], Hassebrook, L.G.[Laurence G.], Lau, D.L.[Daniel L.], Yalla, V.[Veeraganesh],
Near-infrared composite pattern projection for continuous motion hand-computer interaction,
JVCIR(18), No. 2, April 2007, pp. 141-150.
WWW Link. 0711
Structured light; Augmented reality; Virtual reality; Human-computer interaction; 3D data acquisition BibRef

Malassiotis, S.[Sotiris], Strintzis, M.G.[Michael G.],
Real-time hand posture recognition using range data,
IVC(26), No. 7, 2 July 2008, pp. 1027-1037.
WWW Link. 0804
Range data; Gesture; Hand; Real time See also Robust real-time 3D head pose estimation from range data. BibRef

Munoz-Salinas, R.[Rafael], Medina-Carnicer, R., Madrid-Cuevas, F.J., Carmona-Poyato, A.,
Depth silhouettes for gesture recognition,
PRL(29), No. 3, 1 February 2008, pp. 319-329.
WWW Link. 0801
Gesture recognition; Depth information; Silhouettes; Motion templates; HMM; SVM See also Multi-camera head pose estimation. BibRef

Holte, M.B., Moeslund, T.B., Fihl, P.,
View-invariant gesture recognition using 3D optical flow and harmonic motion context,
CVIU(114), No. 12, December 2010, pp. 1353-1361.
Elsevier DOI 1011
BibRef
Earlier:
Fusion of range and intensity information for view invariant gesture recognition,
TOF-CV08(1-7).
IEEE DOI 0806
Time-of-Flight camera; Action recognition; View-invariant; Motion primitives; Optical flow; Spherical harmonics BibRef

Zivkovic, Z.[Zoran],
Wireless smart camera network for real-time human 3D pose reconstruction,
CVIU(114), No. 11, November 2010, pp. 1215-1222.
Elsevier DOI 1011
3D object tracking; Multi-camera systems; Wireless camera networks; Embedded processing; Distributed processing; Approximate Bayesian filtering BibRef

Zivkovic, Z.[Zoran], Kliger, V.[Vitaly], Kleihorst, R.P.[Richard P.], Danilin, A.[Alexander], Schueler, B.[Ben], Arturi, G.[Giuseppe], Chang, C.C.[Chung-Ching], Aghajan, H.[Hamid],
Toward low latency gesture control using smart camera network,
EmbedCV08(1-8).
IEEE DOI 0806
See also Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks. See also User-Centric Environment Discovery With Camera Networks in Smart Homes. BibRef

Leyvand, T.[Tommer], Meekhof, C.[Casey], Wei, Y.C.[Yi-Chen], Sun, J.[Jian], Guo, B.N.[Bai-Ning],
Kinect Identity: Technology and Experience,
Computer(44), No. 4, April 2011, pp. 94-96.
IEEE DOI 1104
BibRef

Bowman, D.A.[Doug A.], McMahan, R.P.[Ryan P.], Ragan, E.D.[Eric D.],
Questioning Naturalism in 3D User Interfaces,
CACM(55), No. 9, September 2012, pp. 78-88.
DOI Link 1209
Three-dimensional user interfaces are uniquely able to achieve superior interaction fidelity, and this naturalism can be a huge advantage. BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Li, Y.[Yi], Zheng, Y.W.[Yan-Wei], Zhao, X.Y.[Xiu-Yang], Yin, J.Q.[Jian-Qin], Meng, Q.F.[Qing-Fang],
Real-time oriented behavior-driven 3D freehand tracking for direct interaction,
PR(46), No. 2, February 2013, pp. 590-608.
Elsevier DOI 1210
Freehand tracking; Human-computer interaction; Behavioral model BibRef

Yousefi, S.[Shahrouz], Kondori, F.A.[Farid Abedan], Li, H.B.[Hai-Bo],
Experiencing real 3D gestural interaction with mobile devices,
PRL(34), No. 8, June 2013, pp. 912-921.
Elsevier DOI 1305
BibRef
Earlier:
3D Gestural Interaction for Stereoscopic Visualization on Mobile Devices,
CAIP11(II: 555-562).
Springer DOI 1109
3D mobile interaction; Rotational symmetries; Gesture detection; SIFT; Gesture tracking; stereoscopic visualization BibRef

Qin, S.X.[Shu-Xin], Yang, Y.P.[Yi-Ping], Jiang, Y.S.[Yong-Shi],
Retraction Notice: Model-based 3D tracking of an articulated hand from single depth images,
PRL(34), No. 16, 2013, pp. 2199-.
Elsevier DOI 1310
BibRef
And: Original retracted paper. PRL(34), No. 12, 1 September 2013, pp. 1437-1445.
Elsevier DOI 1306
BibRef

Wang, C.[Chun], Lai, Z.Y.[Zhong-Yuan], Wang, H.Y.[Hong-Yuan],
Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera,
IEICE(E96-D), No. 9, September 2013, pp. 2147-2151.
WWW Link. 1309
BibRef

Wang, C.[Chong], Liu, Z.[Zhong], Chan, S.C.[Shing-Chow],
Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera,
MultMed(17), No. 1, January 2015, pp. 29-39.
IEEE DOI 1502
feature extraction BibRef

Moya, S.[Sergio], Grau, S.[Sergi], Tost, D.[Dani],
The wise cursor: assisted selection in 3D serious games,
VC(29), No. 6-8, June 2013, pp. 795-804.
WWW Link. 1306
BibRef

Wang, H.J.[Han-Jie], Fu, J.J.[Jing-Jing], Lu, Y.[Yan], Chen, X.L.[Xi-Lin], Li, S.P.[Shi-Peng],
Depth sensor assisted real-time gesture recognition for interactive presentation,
JVCIR(24), No. 8, 2013, pp. 1458-1468.
Elsevier DOI 1312
Gesture recognition BibRef

Zhang, X.[Xin], Ye, Z.[Zhichao], Jin, L.W.[Lian-Wen], Feng, Z.[Ziyong], Xu, S.[Shaojie],
A New Writing Experience: Finger Writing in the Air Using a Kinect Sensor,
MultMedMag(20), No. 4, October 2013, pp. 85-93.
IEEE DOI 1403
image colour analysis BibRef

Kirac, F.[Furkan], Kara, Y.E.[Yunus Emre], Akarun, L.[Lale],
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data,
PRL(50), No. 1, 2014, pp. 91-100.
Elsevier DOI 1410
Hand gesture BibRef

Keskin, C.[Cem], Kirac, F.[Furkan], Kara, Y.E.[Yunus Emre], Akarun, L.[Lale],
Real time hand pose estimation using depth sensors,
ConDepth11(1228-1234).
IEEE DOI 1201
BibRef

Dominio, F.[Fabio], Donadeo, M.[Mauro], Zanuttigh, P.[Pietro],
Combining multiple depth-based descriptors for hand gesture recognition,
PRL(50), No. 1, 2014, pp. 101-111.
Elsevier DOI 1410
Gesture recognition BibRef

Hernández-Vela, A.[Antonio], Bautista, M.Á.[Miguel Ángel], Perez-Sala, X.[Xavier], Ponce-López, V.[Víctor], Escalera, S.[Sergio], Baró, X.[Xavier], Pujol, O.[Oriol], Angulo, C.[Cecilio],
Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D,
PRL(50), No. 1, 2014, pp. 112-121.
Elsevier DOI 1410
RGB-D BibRef

Hernandez-Vela, A.[Antonio],
From pixels to gestures: learning visual representations for human analysis in color and depth data sequences,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Traver, V.J.[V. Javier], Latorre-Carmona, P.[Pedro], Salvador-Balaguer, E.[Eva], Pla, F.[Filiberto], Javidi, B.[Bahram],
Human Gesture Recognition Using Three-Dimensional Integral Imaging,
JOSA-A(31), No. 10, October 2014, pp. 2312-2320.
DOI Link 1411
Video BibRef

Traver, V.J.[V. Javier], Latorre-Carmona, P.[Pedro], Salvador-Balaguer, E.[Eva], Pla, F.[Filiberto], Javidi, B.[Bahram],
Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions,
SPLetters(24), No. 2, February 2017, pp. 171-175.
IEEE DOI 1702
gesture recognition BibRef

Latorre-Carmona, P.[Pedro], Pla, F.[Filiberto], Salvador-Balaguer, E.[Eva], Javidi, B.[Bahram],
3D human gesture recognition using integral imaging,
SPIE(Newsroom), April 28, 2015.
DOI Link 1507
Synthetic aperture integral imaging recognizes human actions better than monocular acquisition technology. BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Lv, N.[Na], Xu, T.[Tao], Yin, J.Q.[Jian-Qin], Zhao, X.Y.[Xiu-Yang], Feng, S.C.[Shi-Chang],
Motion-towards-each-other-based hand gesture initialization,
PR(48), No. 12, 2015, pp. 4049-4056.
Elsevier DOI 1509
3D human hand gesture model BibRef

Yang, J.Y.[Jian-Yu], Yuan, J.S.[Jun-Song], Li, Y.F.[You-Fu],
Parsing 3D motion trajectory for gesture recognition,
JVCIR(38), No. 1, 2016, pp. 627-640.
Elsevier DOI 1605
3D trajectory representation BibRef

Wan, J., Guo, G., Li, S.Z.,
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition,
PAMI(38), No. 8, August 2016, pp. 1626-1639.
IEEE DOI 1608
gesture recognition BibRef

Kim, K.[Kisang], Choi, H.I.[Hyung-Il],
Online hand gesture recognition using enhanced $N recogniser based on a depth camera,
IJCVR(6), No. 3, 2016, pp. 214-222.
DOI Link 1608
BibRef

D'Orazio, T., Marani, R., Renò, V., Cicirelli, G.,
Recent trends in gesture recognition: How depth data has improved classical approaches,
IVC(52), No. 1, 2016, pp. 56-72.
Elsevier DOI 1609
Gesture recognition BibRef

Kim, J.[Joongrock], Yu, S.[Sunjin], Kim, D.[Dongchul], Toh, K.A.[Kar-Ann], Lee, S.Y.[Sang-Youn],
An adaptive local binary pattern for 3D hand tracking,
PR(61), No. 1, 2017, pp. 139-152.
Elsevier DOI 1609
3D hand tracking BibRef


Lai, Z.Y.[Zhong-Yuan], Yao, Z.J.[Zhi-Jun], Wang, C.[Chun], Liang, H.[Hui], Chen, H.M.[Hong-Mei], Xia, W.[Wu],
Fingertips Detection and Hand Gesture Recognition Based on Discrete Curve Evolution with a Kinect Sensor,
VCIP16(1-4)
IEEE DOI 1701
Context BibRef

Tewari, A.[Aditya], Taetz, B.[Bertram], Grandidier, F.[Frederic], Stricker, D.[Didier],
Two Phase Classification for Early Hand Gesture Recognition in 3D Top View Data,
ISVC16(I: 353-363).
Springer DOI 1701
BibRef

Wan, J., Li, S.Z., Zhao, Y., Zhou, S., Guyon, I., Escalera, S.,
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition,
ChaLearn16(761-769)
IEEE DOI 1612
BibRef

Liang, C., Song, Y., Zhang, Y.,
Hand gesture recognition using view projection from point cloud,
ICIP16(4413-4417)
IEEE DOI 1610
Feature extraction BibRef

Basaru, R.R., Slabaugh, G.G., Child, C., Alonso, E.,
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features,
WSSIP16(1-4)
IEEE DOI 1608
cameras BibRef

Lin, X.[Xiao], Casas, J.R.[Josep R.], Pardás, M.[Montse],
Time Consistent Estimation of End-Effectors from RGB-D Data,
PSIVT15(529-543).
Springer DOI 1602
BibRef

Molchanov, P.[Pavlo], Yang, X., Gupta, S.[Shalini], Kim, K.[Kihwan], Tyree, S., Kautz, J.[Jan],
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks,
CVPR16(4207-4215)
IEEE DOI 1612
BibRef

Molchanov, P.[Pavlo], Gupta, S.[Shalini], Kim, K.[Kihwan], Kautz, J.[Jan],
Hand gesture recognition with 3D convolutional neural networks,
Hands15(1-7)
IEEE DOI 1510
Kernel BibRef

Makris, A.[Alexandros], Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
Hierarchical particle filtering for 3D hand tracking,
Hands15(8-17)
IEEE DOI 1510
Bayes methods BibRef

Collumeau, J.F., Leconge, R., Emile, B., Dennemont, Y., Bouyer, G., Otmane, S., Mallem, M.,
A discrete Hidden Markov models recognition module for temporal series: Application to real-time 3D hand gestures,
IPTA12(299-304)
IEEE DOI 1503
computer games BibRef

Lin, H.Y.[Hsueh-Yi], Huang, P.K.[Po-Kuan], Lin, T.Y.[Tung-Yang], Chang, T.T.[Ting-Ting], Wu, C.H.[Chi-Hao], Hsiao, C.C.[Chin-Chun], Liao, C.K.[Chao-Kang],
Stereo matching architecture for 3D pose/gesture recognition and distance-measuring application,
IC3D13(1-6)
IEEE DOI 1503
feature extraction BibRef

Cirujeda, P.[Pol], Binefa, X.[Xavier],
4DCov: A Nested Covariance Descriptor of Spatio-Temporal Features for Gesture Recognition in Depth Sequences,
3DV14(657-664)
IEEE DOI 1503
Accuracy BibRef

Marin, G.[Giulio], Dominio, F.[Fabio], Zanuttigh, P.[Pietro],
Hand gesture recognition with leap motion and kinect devices,
ICIP14(1565-1569)
IEEE DOI 1502
Accuracy BibRef

Pavlakos, G.[Georgios], Theodorakis, S.[Stavros], Pitsikalis, V.[Vassilis], Katsamanis, A.[Athanasios], Maragos, P.[Petros],
Kinect-based multimodal gesture recognition using a two-pass fusion scheme,
ICIP14(1495-1499)
IEEE DOI 1502
Feature extraction BibRef

Kumar, H.[Himanshu], Ptucha, R.[Raymond],
Gesture recognition using active body parts and active difference signatures,
ICIP15(2364-2368)
IEEE DOI 1512
HMM; active body parts; active difference signature; gesture recognition BibRef

Savakis, A.E.[Andreas E.], Rudra, R.[Raviteja], Ptucha, R.[Raymond],
Gesture Control Using Active Difference Signatures and Sparse Learning,
ICPR14(3969-3974)
IEEE DOI 1412
Cameras BibRef

Slama, R.[Rim], Wannous, H.[Hazem], Daoudi, M.[Mohamed],
Grassmannian Representation of Motion Depth for 3D Human Gesture and Action Recognition,
ICPR14(3499-3504)
IEEE DOI 1412
Accuracy BibRef

Chen, X.[Xi], Koskela, M.[Markus],
Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition,
ICPR14(411-416)
IEEE DOI 1412
Accuracy BibRef

Tzionas, D.[Dimitrios], Srikantha, A.[Abhilash], Aponte, P.[Pablo], Gall, J.[Juergen],
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points,
GCPR14(277-289).
Springer DOI 1411
BibRef

Wu, Q.M.J.[Q.M. Jonathan], Ishwar, P.[Prakash], Konrad, J.[Janusz],
Silhouettes versus skeletons in gesture-based authentication with Kinect,
AVSS14(99-106)
IEEE DOI 1411
Authentication BibRef

Nabiyouni, M., Laha, B., Bowman, D.A.,
Designing effective travel techniques with bare-hand interaction,
3DUI14(139-140)
IEEE DOI 1406
interactive systems BibRef

Apostolellis, P., Bortz, B., Peng, M.[Mi], Polys, N., Hoegh, A.,
Exploring the integrality and separability of the Leap Motion Controller for direct manipulation 3D interaction,
3DUI14(153-154)
IEEE DOI 1406
interactive systems BibRef

Morgan, T.B., Jarrell, D., Vance, J.M.,
Rapid development of natural user interaction using kinect sensors and VRPN,
3DUI14(163-164)
IEEE DOI 1406
graphical user interfaces BibRef

Oliveira, V.A.D.J., Maciel, A.,
Applying tactile languages for 3D navigation,
3DUI14(177-178)
IEEE DOI 1406
computerised navigation BibRef

Bacim, F.[Felipe], Nabiyouni, M.[Mahdi], Bowman, D.A.[Doug A.],
Slice-n-Swipe: A free-hand gesture user interface for 3D point cloud annotation,
3DUI14(185-186)
IEEE DOI 1406
3D interaction techniques BibRef

Kulshreshth, A., Zorn, C., La Viola, J.J.,
Real-time markerless kinect based finger tracking and hand gesture recognition for HCI,
3DUI13(187-188)
IEEE DOI 1406
Fourier analysis BibRef

Ha, T.[Taejin], Woo, W.T.[Woon-Tack],
ARWand for an augmuented world builder,
3DUI13(207-208)
IEEE DOI 1406
3D Object Manipulation BibRef

Hald, K.[Kasper],
Low-cost 3DUI using hand tracking and controllers,
3DUI13(205-206)
IEEE DOI 1406
3D user interface;Kinect;Wii;World Builder BibRef

Gowing, M.[Marc], Ahmadi, A.[Amin], Destelle, F.[François], Monaghan, D.S.[David S.], O'Connor, N.E.[Noel E.], Moran, K.[Kieran],
Kinect vs. Low-cost Inertial Sensing for Gesture Recognition,
MMMod14(I: 484-495).
Springer DOI 1405
BibRef

Liang, B.[Bin], Zheng, L.[Lihong],
3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition,
ICPR14(1952-1957)
IEEE DOI 1412
BibRef
And:
Multi-modal Gesture Recognition Using Skeletal Joints and Motion Trail Model,
ChaLearn14(623-638).
Springer DOI 1504
BibRef
Earlier:
Three Dimensional Motion Trail Model for Gesture Recognition,
BD3DCV13(684-691)
IEEE DOI 1403
feature extraction BibRef

Asad, M.[Muhammad], Abhayaratne, C.[Charith],
Kinect depth stream pre-processing for hand gesture recognition,
ICIP13(3735-3739)
IEEE DOI 1402
Kinect sensor BibRef

Angelopoulou, A.[Anastassia], García-Rodríguez, J.[José], Psarrou, A.[Alexandra], Mentzelopoulos, M.[Markos], Reddy, B.[Bharat], Orts-Escolano, S.[Sergio], Serra, J.A.[Jose Antonio], Lewis, A.[Andrew],
Natural User Interfaces in Volume Visualisation Using Microsoft Kinect,
ACVR13(11-19).
Springer DOI 1309
With depth data. Apply to surgeons and access to 3D data. BibRef

Ramírez-Corona, M.[Mallinali], Osorio-Ramos, M.[Miguel], Morales, E.F.[Eduardo F.],
A Non-temporal Approach for Gesture Recognition Using Microsoft Kinect,
CIARP13(II:318-325).
Springer DOI 1311
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Zhang, C.Y.[Chen-Yang], Tian, Y.L.[Ying-Li],
Edge Enhanced Depth Motion Map for Dynamic Hand Gesture Recognition,
HAU3D13(500-505)
IEEE DOI 1309
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Caon, M., Yue, Y.[Yong], Tscherrig, J., Khaled, O.A., Mugellini, E.,
Democratizing 3D dynamic gestures recognition,
UCCV13 2013(7-12)
IEEE DOI 1307
BibRef
Earlier: A1, A3, A2, A4, A5:
Extending the interaction area for view-invariant 3D gesture recognition,
IPTA12(293-298)
IEEE DOI 1503
calibration. cameras BibRef

Jaemin, L.[Lee], Takimoto, H.[Hironori], Yamauchi, H.[Hitoshi], Kanazawa, A.[Akihiro], Mitsukura, Y.[Yasue],
A robust gesture recognition based on depth data,
FCV13(127-132).
IEEE DOI 1304
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Kohn, B.[Bernhard], Belbachir, A.N.[Ahmed Nabil], Nowakowska, A.[Aneta],
Real-time gesture recognition using bio inspired 3D vision sensor,
Gesture12(37-42).
IEEE DOI 1207
BibRef

Schmitt, B.[Benedicte], Raynal, M.[Mathieu], Schroder-Kroll, R.[Roland], Walter-Franks, B.[Benjamin], Herrlich, M.[Marc], Malaka, R.[Rainer],
Proxy based 3D selection,
3DUI12(161-162).
IEEE DOI 1204
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Takala, T.M.[Tuukka M.], Rauhamaa, P.[Paivi], Takala, T.[Tapio],
Survey of 3DUI applications and development challenges,
3DUI12(89-96).
IEEE DOI 1204
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Ying, J.H.[Jiang-Hui], Gracanin, D.[Denis],
An approach to development of adaptive 3D user interfaces,
3DUI12(169-170).
IEEE DOI 1204
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Yu, J.C.[Juan Carlos], Yamamoto, G.[Goshiro], Miyazaki, J.[Jun], Billinghurst, M.[Mark], Kato, H.[Hirokazu],
Manipulation techniques of 3D objects represented as multi-viewpoint images in a 3D scene,
3DUI12(171-172).
IEEE DOI 1204
BibRef

Zaman, L.[Loutfouz], Shuralyov, D.[Dmitri], Teather, R.J.[Robert J.], Stuerzlinger, W.[Wolfgang],
Evaluation of a 3D UI with different input technologies,
3DUI12(173-174).
IEEE DOI 1204
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Lahamy, H.[Hervé], Lichti, D.[Derek],
Heuristic and Voxel-Based Signature for Hand Posture Recognition Using a Range Camera,
ICIAR12(II: 114-121).
Springer DOI 1206
BibRef
Earlier:
Evaluation Of Real-Time Hand Motion Tracking Using A Range Camera And The Mean-Shift Algorithm,
Laser11(xx-yy).
DOI Link 1109
BibRef

Lahamy, H.[Herve],
Real-time hand gesture recognition using range cameras,
CGC10(54).
PDF File. 1006
BibRef

Zhang, H.[Hui], Song, Y.[Yuhao], Chen, Z.[Zhuo], Cai, J.[Ji], Lu, K.[Ke],
Chinese Shadow Puppetry with an Interactive Interface Using the Kinect Sensor,
VECTaR12(I: 352-361).
Springer DOI 1210
BibRef

Lai, K.[Kam], Konrad, J.[Janusz], Ishwar, P.[Prakash],
A gesture-driven computer interface using Kinect,
Southwest12(185-188).
IEEE DOI 1205
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Visser, M.[Michiel], Hopf, K.[Klaus],
Near and far distance gesture tracking for 3D applications,
3DTV11(1-4).
IEEE DOI 1105
See also Multi-user eye tracking suitable for 3D display applications. BibRef

Funatomi, T.[Takuya], Akuzawa, H.[Haruna], Iiyama, M.[Masaaki], Minoh, M.[Michihiko],
Pinhole-to-Projection Pyramid Subtraction for Reconstructing Non-rigid Objects from Range Images,
3DIMPVT12(254-261).
IEEE DOI 1212
union of rigid objects. Range data. marker based motion capture. BibRef

Zhang, P.[Peng], Li, T.[Tao], Xiong, H.X.[Huai-Xin], Liang, L.Y.[Lin-Yan],
Gesture recognition based on depth difference distribution,
ICPR12(157-160).
WWW Link. 1302
BibRef

Hernandez-Vela, A.[Antonio], Bautista, M.A.[Miguel Angel], Perez-Sala, X.[Xavier], Ponce, V.[Victor], Baro, X.[Xavier], Pujol, O.[Oriol], Angulo, C.[Cecilio], Escalera, S.[Sergio],
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition,
ICPR12(449-452).
WWW Link. 1302
BibRef

Hu, G.[Gang], Gao, Q.G.[Qi-Gang],
Gesture Analysis Using 3D Camera, Shape Features and Particle Filters,
CRV11(204-211).
IEEE DOI 1105
BibRef

Grabham, D.[Dan],
Beyond Kinect: Microsoft's vision for next-gen interfaces,
TechRadar(News), January 2011.
WWW Link. Survey, Gesture Recognition. Interview with Andrew Blake: How we'll interact with future tech General discussion. News item. BibRef 1101

Chen, C.P.[Chia-Ping], Chen, Y.T.[Yu-Ting], Lee, P.H.[Ping-Han], Tsai, Y.P.[Yu-Pao], Lei, S.M.[Shaw-Min],
Real-time hand tracking on depth images,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Reyes, M.[Miguel], Dominguez, G.[Gabriel], Escalera, S.[Sergio],
Feature-weighting in dynamic time-warping for gesture recognition in depth data,
ConDepth11(1182-1188).
IEEE DOI 1201
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Lee, C.S.[Chan-Su], Chun, S.Y.[Sung Yong], Park, S.W.[Shin Won],
Dynamic Hand Shape Manifold Embedding and Tracking from Depth Maps,
CDF12(II:171-182).
Springer DOI 1304
BibRef

Zhu, X.L.[Xiao-Long], Wong, K.Y.K.[Kwan-Yee K.],
Single-frame hand gesture recognition using color and depth kernel descriptors,
ICPR12(2989-2992).
WWW Link. 1302
BibRef

Doliotis, P.[Paul], Athitsos, V.[Vassilis], Kosmopoulos, D.[Dimitrios], Perantonis, S.[Stavros],
Hand Shape and 3d Pose Estimation Using Depth Data from a Single Cluttered Frame,
ISVC12(I: 148-158).
Springer DOI 1209
BibRef

Teather, R.J.[Robert J.], Stuerzlinger, W.[Wolfgang],
Investigating one-eyed and stereo cursors for 3D pointing tasks,
3DUI12(167-168).
IEEE DOI 1204
BibRef

Oikonomidis, I.[Iasonas], Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints,
ICCV11(2088-2095).
IEEE DOI 1201
BibRef
Earlier:
Efficient model-based 3D tracking of hand articulations using Kinect,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier:
Markerless and Efficient 26-DOF Hand Pose Recovery,
ACCV10(III: 744-757).
Springer DOI 1011
BibRef

Suryanarayan, P.[Poonam], Subramanian, A.[Anbumani], Mandalapu, D.[Dinesh],
Dynamic Hand Pose Recognition Using Depth Data,
ICPR10(3105-3108).
IEEE DOI 1008
BibRef

Luque, F.P.[Francisco Pedro], Luque, F.J.[Francisco Javier], Lastres, C.[Carmen], Santamaria, A.[Asuncion], Galloso, I.[Iris], Muria, J.[Jordi],
Virtual Domotic Systems: A 3D interaction technique to control virtual building devices using residential gateways,
IPTA10(489-494).
IEEE DOI 1007
BibRef

Feulner, J.[Johannes], Penne, J.[Jochen], Kollorz, E.N.K.[Eva N.K.], Hornegger, J.[Joachim],
Robust real-time 3D modeling of static scenes using solely a Time-of-Flight sensor,
OTCBVS09(74-81).
IEEE DOI 0906
BibRef

Penne, J.[Jochen], Soutschek, S.[Stefan], Fedorowicz, L.[Lukas], Hornegger, J.[Joachim],
Robust real-time 3D time-of-flight based gesture navigation,
FG08(1-2).
IEEE DOI 0809
BibRef

Soutschek, S.[Stefan], Penne, J.[Jochen], Hornegger, J.[Joachim], Kornhuber, J.[Johannes],
3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras,
TOF-CV08(1-6).
IEEE DOI 0806
BibRef

Caglioti, V.[Vincenzo], Giusti, A.[Alessandro], Mureddu, L.[Lorenzo], Taddei, P.[Pierluigi],
A Manipulable Vision-Based 3D Input Device for Space Curves,
AMDO08(xx-yy).
Springer DOI 0807
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Van den Bergh, M.[Michael], Van Gool, L.J.[Luc J.],
Combining RGB and ToF cameras for real-time 3D hand gesture interaction,
WACV11(66-72).
IEEE DOI 1101
BibRef

Van den Bergh, M.[Michael], Koller-Meier, E.[Esther], Bosche, F., Van Gool, L.J.[Luc J.],
Haarlet-based hand gesture recognition for 3D interaction,
WACV09(1-8).
IEEE DOI 0912
BibRef

Van den Bergh, M.[Michael], Servaes, W.[Ward], Caenen, G.[Geert], de Roeck, S.[Stefaan], Van Gool, L.J.[Luc J.],
Perceptive User Interface, a Generic Approach,
CVHCI05(60).
Springer DOI 0601
BibRef

Breuer, P.[Pia], Eckes, C.[Christian], Müller, S.[Stefan],
Hand Gesture Recognition with a Novel IR Time-of-Flight Range Camera: A Pilot Study,
MIRAGE07(247-260).
Springer DOI 0703
BibRef

Manders, C., Farbiz, F., Chong, J.H., Tang, K.Y., Chua, G.G., Loke, M.H., Yuan, M.L.,
Robust hand tracking using a skin tone and depth joint probability model,
FG08(1-6).
IEEE DOI 0809
BibRef

Chik, D.[Desmond], Trumpf, J.[Jochen], Schraudolph, N.N.[Nicol N.],
Using an adaptive VAR Model for motion prediction in 3D hand tracking,
FG08(1-8).
IEEE DOI 0809
BibRef

Hu, Z.L.[Zhi-Lan], Chen, M.L.[Mao-Lin], Chu, R.[Rufeng], Lim, H.[Hwasup],
Human arm estimation using convex features in depth images,
ICIP10(3269-3272).
IEEE DOI 1009
BibRef

Mo, Z.Y.[Zhen-Yao], Neumann, U.[Ulrich],
Real-time Hand Pose Recognition Using Low-Resolution Depth Images,
CVPR06(II: 1499-1505).
IEEE DOI 0606
BibRef
And:
Lexical Gesture Interface,
CVS06(7).
IEEE DOI 0602
BibRef

Lee, Y.L.[Yun-Li], Kyoung, D.W.[Dong-Wuk], Jung, K.C.[Kee-Chul],
Meshless Parameterization for Dimensional Reduction Integrated in 3D Voxel Reconstruction Using a Single PC,
PSIVT07(321-333).
Springer DOI 0712
BibRef

Lee, Y.L.[Yun-Li], Kyoung, D.W.[Dong-Wuk], Han, E.[Eunjung], Jung, K.C.[Kee-Chul],
Dimension Reduction in 3D Gesture Recognition Using Meshless Parameterization,
PSIVT06(64-73).
Springer DOI 0612
BibRef

Lee, Y.L.[Yun-Li], Jung, K.C.[Kee-Chul],
3D Posture Representation Using Meshless Parameterization with Cylindrical Virtual Boundary,
PSIVT07(449-461).
Springer DOI 0712
BibRef

Liu, X.[Xia], Fujimura, K.,
Hand gesture recognition using depth data,
AFGR04(529-534).
WWW Link. 0411
BibRef

Malassiotis, S., Aifanti, N., Strintzis, M.G.,
A gesture recognition system using 3D data,
3DPVT02(190-193).
IEEE DOI 0206
See also Robust real-time 3D head pose estimation from range data. BibRef

Horain, P., Bomb, M.,
3D model based gesture acquisition using a single camera,
WACV02(158-162).
WWW Link. 0303
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Autism Analysis, Behavior, Cognitive, Other Analysis .


Last update:Apr 26, 2017 at 10:20:07