论文标题
通过姿势和形状估计的对象识别
Object recognition through pose and shape estimation
论文作者
论文摘要
计算机视觉可帮助机器或计算机像人类一样看到。计算机从图像中获取信息，然后了解图像中有用的信息。手势识别和运动识别是计算机视觉研究的当前研究领域。对于手势和运动识别，找到对象的姿势至关重要。本文的目的是审查许多最先进的状态，该状态已可用于根据形状，基于外观，基于功能和比较其准确性，复杂性和性能的比较来查找对象的姿势。
Computer vision helps machines or computer to see like humans. Computer Takes information from the images and then understands of useful information from images. Gesture recognition and movement recognition are the current area of research in computer vision. For both gesture and movement recognition finding pose of an object is of great importance. The purpose of this paper is to review many state of art which is already available for finding the pose of object based on shape, based on appearance, based on feature and comparison for its accuracy, complexity and performance
