Extraction and Application of 3D Object SIFT Feature
3维物体SIFT特征的提取与应用

The SIFT algorithm is widely adopted by researchers in image and graphic study, with its many advantages such as invariance to scaling, rotation, noise and illumination changes. SIFT feature is based on local gradient, making it invulnerable to large scale of image extension, compression and rotation, and this meets the practical requirements of 3D object recognition. And the sensitivity to homographic transformation of the feature can be applied to partition the view space. Reasonably setting the threshold value, SIFT algorithm can handle the technical problems such as cutting the object from its background. After pre-processing, the high computation complexity can be reduced, making the system run in real time. Therefore, applying SIFT feature in view space partition, cutting the object from its background and pattern matching can effectively enhance the robustness of the system and improve its speed and efficiency.