【摘 要】
：
The boom of Internet and multimedia technology leads to the explosion of multimedia information, especially image, which has created an urgent need of quickly retrieving similar and interested images
【出 处】
：
Journal of Zhejiang University-Science C(Computers & Electro
论文部分内容阅读
The boom of Internet and multimedia technology leads to the explosion of multimedia information, especially image, which has created an urgent need of quickly retrieving similar and interested images from huge image collections. The content-based high-
其他文献
A Single Image Super-Resolution (SISR) reconstruction method that uses clustered sparse representation and adaptive patch aggregation is proposed. First, we randomly extract image patch pairs from the
近日,微软研究院发表了一篇关于新型手机支付手段的文章,该技术利用手机和Kinect,用户在进行支付时甚至都不需要触摸钱包和手机。该系统被称为零操作支付(ZEP),将利用手机蓝牙的唯一识别代码来分辨进入某家商店的用
将特征点的深度信息和像素坐标作为视觉特征,提出一种视觉伺服准最小最大模型预测控制(MPC)方法.与传统方法相比,机器人摔制信号可通过在线求斛线性矩阵不等式的凸优化问题获得,其可行斛可保证系统的闭环渐近稳定性.该方法易于处理系统约束,在满足执行器机械限制的前提下能够有效规划特征点的图像轨迹.同时,深度特征的引入对于改进摄像机的三维轨迹具有显著效果.六自由度工业机器人手眼系统的仿真结果验证了所提出算法
提出了基于活动轮廓模型的智能机器人障碍物检测算法。首先通过对采集得到的道路图像进行道路区域的提取,再针对提取目标区域确定初始轮廓线,采用简化的Mum-ford-Shah模型进行有限范围的图像分割,获得障碍物信息。由于该算法预先进行了道路区域的分割,将背景复杂的图像转换为单一背景的二值图像,弥补了活动轮廓模型本身算法对于多目标复杂背景分割效果不理想的不足,大大提高了障碍物检测的准确性;同时,由于将检
Today massive collections of data can be obtained across different sources (or domains), e.g., the depth data from Kinect, the geometrical data from scanning devices, the imagery/video data from camer
We propose a 3D model feature line extraction method using templates for guidance. The 3D model is first projected into a depth map, and a set of candidate feature points are extracted. Then, a condit
To overcome the high computational complexity in real-time classifier design, we propose a fast classification scheme. A new measure called reconstruction proportion is exploited to reflect the discri
Emergency exercises are an efficient approach for preventing serious damage and harm, including loss of life and property and a wide range of adverse social effects, during various public emergencies.
Structure from motion (SfM) has been an active research area in computer vision for decades and numerous practical applications are benefiting from this research. While no previous work has tried to s
Object representation based on local features is a topical subject in the domain of image understanding and computer vision. We discuss the defects of global features in present methods and the advant