搜索结果: 1-15 共查到“Computer vision”相关记录26条 . 查询时间(0.093 秒)
Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model ...
Labeling data can be a chore. It’s the main source of sustenance for computer-vision models; without it, they’d have a lot of difficulty identifying objects, people, and other important image characte...
Two years have passed since the first workshop on Light Fields for Computer Vision at ECCV 2014, during which the field has advanced substantially. There have been breakthroughs in the differential th...
Aims and scope: Research progress in computer vision and pattern recognition has lead to a variety of modeling techniques with (almost) human-like performance in a variety of tasks. A clear example o...
2017年基于位置线索的视觉测距和计算机视觉应用国际研讨会（International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues）
2017年 计算机视觉应用国际 研讨会
2017/6/22
With the advent of autonomous driving and augmented reality, the applications of visual odometry are significantly growing. The development of smart-phones and cameras is also making the visual odomet...
2017计算机视觉显微镜图像分析研讨会（The Workshop on Computer Vision for Microscopy Image Analysis）(CVMI)
2017年 计算机视觉显微镜图像分析 研讨会
2017/6/22
The Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will be held on July 21st, 2017 in conjunction with the CVPR 2017 conference. It is focused primarily on analyzing microscopy image...
2017计算机视觉和模式识别应用于媒体取证研讨会（Workshop on Applications of Computer Vision and Pattern Recognition to Media Forensics）
2017年 计算机视觉和模式识别应用于媒体取证 研讨会
2017/6/22
This workshop will focus on the role of computer vision and pattern recognition in forensic applications, with special emphasis on media forensics. There are a number of areas in the computer vision a...
第三届体育计算机视觉国际研讨会（3rd International Workshop on Computer Vision in Sports (CVsports)）
第三届 体育 计算机视觉 国际研讨会
2017/6/19
Sports is said to be the social glue of society. It allows people to interact irrespective of their social status, age etc. With the rise of the mass media, a significant quantity of resources has bee...
2017计算机图像，视频和三维形状分析深度学习研讨会（Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS）
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional va...
2017年神经系统模式识别和计算机视觉的计算研讨会（2017 Workshop on Computational Aspects of Pattern Recognition and Computer Vision with Neural Systems）
2017年 神经系统模式识别 计算机视觉的计算 研讨会
2017/3/21
Computational requirements on information processing systems are nowadays enormous - not only huge amounts of data needs to be processed and classified but also the systems need to deal with massive d...
2017年智能系统和计算机视觉国际会议（The International Conference on Intelligent Systems and Computer Vision 2017）
2017年 智能系统 计算机视觉 国际会议
2017/3/9
The International Conference on Intelligent Systems and Computer Vision 2017 is the second edition of ISCV2015. It provides a forum and an excellent venue for researchers, academic faculty, students, ...
International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Short ar...
QUALITY ANALYSIS OF VEHICLE-BASED SEQUENCE IMAGES RELATIVE ORIENTATION BASED ON COMPUTER VISION
Relative Orientation Direct Geo-referencing Computer vision Sequence images Mobile mapping SIFT RANSAC
2014/4/28
Analyzed the quality and its influence factors of relative orientation of vehicle-based sequence images by comparing with the result obtained from Position & Orientation System using Direct Geo-refere...
基于计算机视觉的玉米单倍体自动分选系统（Sorting System of Maize Haploid Kernels Based on Computer Vision）
计算机视觉 种子分选 单倍体识别 颜色特征
2010/12/29
研究了一种玉米单倍体籽粒分选方法，可自动分选具有Navajo标记的玉米单倍体籽粒。分选系统主要由种子输送单元、图像采集处理单元、分拣卸料单元及系统控制单元组成。图像采集处理单元根据玉米籽粒胚部及胚乳顶部的颜色特征进行单倍体籽粒判断，并将判断结果发送给系统控制单元。系统控制单元根据该结果协调种子输送单元及分拣卸料单元机械臂的运动，实现籽粒位置定位，同时开启与机械臂末端相应电磁阀，采用气吸方式分离杂合...