Titlebook: Image and Graphics; 10th International C Yao Zhao,Nick Barnes,Chunyu Lin Conference proceedings 2019 Springer Nature Switzerland AG 2019 3D

harmony

金桌活画面

MMA: Motion Memory Attention Network for Video Object Detectiono handle the issue of vague and deformable objects by utilizing the temporal information and distinguishing features. Our experiments demonstrate that the detection performance can be significantly improved when integrating the proposed algorithm with Faster R-CNN and YOLO..

领巾

Blending Polyhedral Edge Clusterse complete . (geometrically continuous up to order .) blending surfaces can be produced faster. Their shapes can be adjusted by utilizing certain freedoms of placing the control points. The implementation of this method is demonstrated with various practical examples.

漂亮才会豪华

语言学

Face Verification Between ID Document Photos and Partial Occluded Spot Photospairs. In addition, to suppress the negative effect of background and occlusion, a global weight pooling method is proposed, which makes the available face area more significant than the background and occlusion. The experimental results show that the proposed method obtains 10% improvements on FAR@0.01 compared with previous schemes.

fastness

动机

System Calibration for Panoramic 3D Measurement with Plane Mirrorsditional fringe projection profilometry (FPP), our system can capture fringe images of the measured object from three different perspectives simultaneously including a real camera and two virtual cameras obtained by plane mirrors, realizing panoramic 3D shape reconstruction only by single-shot measu

ALLEY

A 3D Surface Reconstruction Method Based on Delaunay Triangulations distribution is uneven, which affects the accuracy of surface reconstruction. To tackle the problem, we proposed a three-dimensional surface reconstruction method based on Delaunay triangulation. First, use Delaunay triangulation to get a fully adaptive decomposition of point cloud, then the outpu

ironic

A Visual Perspective for User Identification Based on Camera Fingerprint a typical pattern from the online accounts data. Different from the previous works, we identify users based on the camera fingerprint. The underlying idea is that the accounts belonging to the same individual contain the photos taken by the same cameras. Based on that, we propose a new framework to

Processes

Feature Refine Network for Text-Based CAPTCHA Recognition. It reveals the weakness of current CAPTCHA and improves the security ability. In this paper, we propose a novel Feature Refine network (FRN) for text-based CAPTCHA with small-size characters. FRN consists of convolutional layers and deconvolution layers. The convolutional layers enhance the featur