PROCEEDINGS VOLUME 10609
TENTH INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION (MIPPR2017) | 28-29 OCTOBER 2017
MIPPR 2017: Pattern Recognition and Computer Vision
IN THIS VOLUME

2 Sessions, 60 Papers, 0 Presentations
TENTH INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION (MIPPR2017)
28-29 October 2017
Xiangyang, China
Front Matter: Volume 10609
Proc. SPIE 10609, Front Matter: Volume 10609, 1060901 (8 March 2018); https://doi.org/10.1117/12.2316392
Pattern Recognition and Computer Vision
Proc. SPIE 10609, Static facial expression recognition with convolution neural networks, 1060902 (8 March 2018); https://doi.org/10.1117/12.2281998
Proc. SPIE 10609, Feature hashing for fast image retrieval, 1060903 (8 March 2018); https://doi.org/10.1117/12.2282198
Proc. SPIE 10609, Affine invariant feature extraction based on the shape of local support region, 1060904 (8 March 2018); https://doi.org/10.1117/12.2282275
Proc. SPIE 10609, Adaptive region constrained FCM algorithm for image segmentation with hierarchical superpixels, 1060905 (8 March 2018); https://doi.org/10.1117/12.2282533
Proc. SPIE 10609, A mixture model for robust registration in Kinect sensor, 1060906 (8 March 2018); https://doi.org/10.1117/12.2282552
Proc. SPIE 10609, HOG pedestrian detection based on edge symmetry and trilinear interpolation, 1060907 (8 March 2018); https://doi.org/10.1117/12.2282815
Proc. SPIE 10609, A multi-view face recognition system based on cascade face detector and improved Dlib, 1060908 (8 March 2018); https://doi.org/10.1117/12.2282829
Proc. SPIE 10609, A framework for farmland parcels extraction based on image classification, 1060909 (8 March 2018); https://doi.org/10.1117/12.2282933
Proc. SPIE 10609, A depth enhancement strategy for kinect depth image, 106090A (8 March 2018); https://doi.org/10.1117/12.2283112
Proc. SPIE 10609, The method for froth floatation condition recognition based on adaptive feature weighted, 106090B (8 March 2018); https://doi.org/10.1117/12.2283129
Proc. SPIE 10609, Method of segmenting river from remote sensing image, 106090C (8 March 2018); https://doi.org/10.1117/12.2283228
Proc. SPIE 10609, Robust image matching via ORB feature and VFC for mismatch removal, 106090D (8 March 2018); https://doi.org/10.1117/12.2283260
Proc. SPIE 10609, Dual-threshold segmentation using Arimoto entropy based on chaotic bee colony optimization, 106090E (8 March 2018); https://doi.org/10.1117/12.2283446
Proc. SPIE 10609, The selection of the optimal baseline in the front-view monocular vision system, 106090F (8 March 2018); https://doi.org/10.1117/12.2283470
Proc. SPIE 10609, Learning deep features with adaptive triplet loss for person reidentification, 106090G (8 March 2018); https://doi.org/10.1117/12.2283478
Proc. SPIE 10609, A novel approach for fire recognition using hybrid features and manifold learning-based classifier, 106090H (8 March 2018); https://doi.org/10.1117/12.2283486
Proc. SPIE 10609, Research on three-dimensional reconstruction method based on binocular vision , 106090I (8 March 2018); https://doi.org/10.1117/12.2283522
Proc. SPIE 10609, Multi-modal image registration via depth information based on point set matching, 106090J (8 March 2018); https://doi.org/10.1117/12.2284119
Proc. SPIE 10609, Scene text detection by leveraging multi-channel information and local context, 106090K (8 March 2018); https://doi.org/10.1117/12.2284295
Proc. SPIE 10609, Selecting good regions to deblur via relative total variation, 106090L (8 March 2018); https://doi.org/10.1117/12.2284374
Proc. SPIE 10609, Single image super-resolution based on convolutional neural networks, 106090M (9 April 2018); https://doi.org/10.1117/12.2284377
Proc. SPIE 10609, An improved multi-paths optimization method for video stabilization, 106090N (9 April 2018); https://doi.org/10.1117/12.2284442
Proc. SPIE 10609, Threshold-adaptive canny operator based on cross-zero points, 106090O (8 March 2018); https://doi.org/10.1117/12.2284459
Proc. SPIE 10609, Supervised guiding long-short term memory for image caption generation based on object classes, 106090P (8 March 2018); https://doi.org/10.1117/12.2284665
Proc. SPIE 10609, Color correction using weighted moving least squares in image mosaicking applications, 106090Q (9 April 2018); https://doi.org/10.1117/12.2284770
Proc. SPIE 10609, A method of non-contact reading code based on computer vision, 106090R (8 March 2018); https://doi.org/10.1117/12.2284788
Proc. SPIE 10609, Drug-related webpages classification based on multi-modal local decision fusion, 106090S (8 March 2018); https://doi.org/10.1117/12.2284909
Proc. SPIE 10609, A new matching algorithm for affine point sets, 106090T (8 March 2018); https://doi.org/10.1117/12.2284970
Proc. SPIE 10609, Week texture objects pose estimation based on 3D model, 106090U (9 April 2018); https://doi.org/10.1117/12.2284972
Proc. SPIE 10609, Deep learning based hand gesture recognition in complex scenes, 106090V (8 March 2018); https://doi.org/10.1117/12.2284977
Proc. SPIE 10609, Fast-match on particle swarm optimization with variant system mechanism, 106090W (8 March 2018); https://doi.org/10.1117/12.2284986
Proc. SPIE 10609, Discriminative correlation filter tracking with occlusion detection, 106090X (8 March 2018); https://doi.org/10.1117/12.2284989
Proc. SPIE 10609, A method of airborne infrared and visible image matching based on HOG feature, 106090Y (8 March 2018); https://doi.org/10.1117/12.2285034
Proc. SPIE 10609, A method of vehicle license plate recognition based on PCANet and compressive sensing, 106090Z (8 March 2018); https://doi.org/10.1117/12.2285163
Proc. SPIE 10609, Automated railroad reconstruction from remote sensing image based on texture filter, 1060910 (8 March 2018); https://doi.org/10.1117/12.2285197
Proc. SPIE 10609, Stereo matching algorithm based on double components model, 1060911 (8 March 2018); https://doi.org/10.1117/12.2285260
Proc. SPIE 10609, Ship detection based on rotation-invariant HOG descriptors for airborne infrared images, 1060912 (8 March 2018); https://doi.org/10.1117/12.2285307
Proc. SPIE 10609, RPBS: Rotational Projected Binary Structure for point cloud representation, 1060913 (8 March 2018); https://doi.org/10.1117/12.2285459
Proc. SPIE 10609, Environmentally adaptive crop extraction for agricultural automation using super-pixel and LAB Gaussian model, 1060914 (8 March 2018); https://doi.org/10.1117/12.2285490
Proc. SPIE 10609, Improved dense trajectories for action recognition based on random projection and Fisher vectors, 1060915 (8 March 2018); https://doi.org/10.1117/12.2285510
Proc. SPIE 10609, Action recognition in depth video from RGB perspective: A knowledge transfer manner, 1060916 (9 April 2018); https://doi.org/10.1117/12.2285518
Proc. SPIE 10609, Geometry and coherence based feature matching for structure from motion, 1060917 (8 March 2018); https://doi.org/10.1117/12.2285579
Proc. SPIE 10609, Research on driver fatigue detection, 1060918 (8 March 2018); https://doi.org/10.1117/12.2285585
Proc. SPIE 10609, Smoke regions extraction based on two steps segmentation and motion detection in early fire, 1060919 (8 March 2018); https://doi.org/10.1117/12.2285697
Proc. SPIE 10609, Collaborative identification method for sea battlefield target based on deep convolutional neural networks, 106091A (8 March 2018); https://doi.org/10.1117/12.2285713
Proc. SPIE 10609, Airplane detection in remote sensing images using convolutional neural networks, 106091B (8 March 2018); https://doi.org/10.1117/12.2285776
Proc. SPIE 10609, Unsupervised classification of high-resolution remote-sensing images under edge constraints, 106091C (8 March 2018); https://doi.org/10.1117/12.2285777
Proc. SPIE 10609, Modeling of biologically motivated self-learning equivalent-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for image fragments clustering and recognition, 106091D (8 March 2018); https://doi.org/10.1117/12.2285797
Proc. SPIE 10609, Deep visual-semantic for crowded video understanding, 106091E (8 March 2018); https://doi.org/10.1117/12.2285848
Proc. SPIE 10609, Weighted least square method for epipolar rectification in semi-calibrated image, 106091F (8 March 2018); https://doi.org/10.1117/12.2286603
Proc. SPIE 10609, Detection of vehicle parts based on Faster R-CNN and relative position information, 106091G (8 March 2018); https://doi.org/10.1117/12.2287087
Proc. SPIE 10609, Near infrared and visible face recognition based on decision fusion of LBP and DCT features, 106091H (8 March 2018); https://doi.org/10.1117/12.2287099
Proc. SPIE 10609, Low, slow, small target recognition based on spatial vision network, 106091I (8 March 2018); https://doi.org/10.1117/12.2287145
Proc. SPIE 10609, Vehicle parts detection based on Faster - RCNN with location constraints of vehicle parts feature point, 106091J (8 March 2018); https://doi.org/10.1117/12.2287308