PROCEEDINGS VOLUME 10253
2016 INTERNATIONAL CONFERENCE ON ROBOTICS AND MACHINE VISION | 14-16 SEPTEMBER 2016
2016 International Conference on Robotics and Machine Vision
2016 INTERNATIONAL CONFERENCE ON ROBOTICS AND MACHINE VISION
14-16 September 2016
Moscow, Russia
Front Matter: Volume 10253
Proc. SPIE 10253, Front Matter: Volume 10253, 1025301(8 February 2017);doi: 10.1117/12.2270554
Chapter 2: Image Analysis and Processing
Proc. SPIE 10253, Blind radial distortion compensation from video using fast Hough transform, 1025308(8 February 2017);doi: 10.1117/12.2254867
Chapter 4: Mechanical Control and Automation
Proc. SPIE 10253, Friend or foe: exploiting sensor failures for transparent object localization and classification, 102530I(8 February 2017);doi: 10.1117/12.2266255
Chapter 3: Robot Design and Control
Proc. SPIE 10253, Evaluation of approaches combining 2D and 3D data for object recognition developed for the mobile robot Lisa, 102530F(8 February 2017);doi: 10.1117/12.2266256
Chapter 2: Image Analysis and Processing
Proc. SPIE 10253, CT image quality assessment based on morphometric analysis of artifacts, 102530B(8 February 2017);doi: 10.1117/12.2266268
Chapter 1: Computer Vision and Photography
Proc. SPIE 10253, A calibration technique for the stereo camera system with the laser illumination , 1025302(8 February 2017);doi: 10.1117/12.2266319
Chapter 4: Mechanical Control and Automation
Proc. SPIE 10253, The stress analysis and tests in the bottom of the hinge beam block of cubic press, 102530K(8 February 2017);doi: 10.1117/12.2266339
Chapter 1: Computer Vision and Photography
Proc. SPIE 10253, Trainable Siamese keypoint descriptors for real-time applications, 1025306(8 February 2017);doi: 10.1117/12.2266351
Chapter 2: Image Analysis and Processing
Proc. SPIE 10253, Noise estimation for color visualization of multispectral images, 1025307(8 February 2017);doi: 10.1117/12.2266352
Chapter 1: Computer Vision and Photography
Proc. SPIE 10253, Estimation of velocities via optical flow, 1025303(8 February 2017);doi: 10.1117/12.2266365
Chapter 4: Mechanical Control and Automation
Proc. SPIE 10253, Statistical analysis of the characteristics of high degree polynomial solving methods used in the five-point algorithm, 102530L(8 February 2017);doi: 10.1117/12.2266366
Proc. SPIE 10253, H-infinity control strategy for a class of switched Hamiltonian systems, 102530H(8 February 2017);doi: 10.1117/12.2266373
Chapter 1: Computer Vision and Photography
Proc. SPIE 10253, Verification of applicability two multiplicative closed spectral models for multiple reflection effect description, 1025305(8 February 2017);doi: 10.1117/12.2266404
Chapter 3: Robot Design and Control
Proc. SPIE 10253, Stereo-based visual localization without triangulation for unmanned robotics platform, 102530D(8 February 2017);doi: 10.1117/12.2266410
Chapter 1: Computer Vision and Photography
Proc. SPIE 10253, Fighting detection using interaction energy force, 1025304(8 February 2017);doi: 10.1117/12.2266446
Chapter 2: Image Analysis and Processing
Proc. SPIE 10253, Bayes filter modification for drivability map estimation with observations from stereo vision, 102530C(8 February 2017);doi: 10.1117/12.2266461
Chapter 3: Robot Design and Control
Proc. SPIE 10253, Position control of an industrial robot using fractional order controller, 102530E(8 February 2017);doi: 10.1117/12.2266468
Chapter 4: Mechanical Control and Automation
Proc. SPIE 10253, A rail wear measurement method based on structured light scanning, 102530J(8 February 2017);doi: 10.1117/12.2266469
Proc. SPIE 10253, Decentralized control algorithms of a group of vehicles in 2D space, 102530M(8 February 2017);doi: 10.1117/12.2266499
Chapter 2: Image Analysis and Processing
Proc. SPIE 10253, Portable digital device UHDTV panoramic image formation, 1025309(8 February 2017);doi: 10.1117/12.2266564
Proc. SPIE 10253, Image fractal coding algorithm based on complex exponent moments and minimum variance, 102530A(8 February 2017);doi: 10.1117/12.2266703
Chapter 3: Robot Design and Control
Proc. SPIE 10253, Manifold learning in machine vision and robotics, 102530G(8 February 2017);doi: 10.1117/12.2270550
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