Review of Local Descriptor in RGB-D Object Recognition
نویسندگان
چکیده
منابع مشابه
A novel Local feature descriptor using the Mercator projection for 3D object recognition
Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...
متن کاملAn Effective 3D Shape Descriptor for Object Recognition with RGB-D Sensors
RGB-D sensors have been widely used in various areas of computer vision and graphics. A good descriptor will effectively improve the performance of operation. This article further analyzes the recognition performance of shape features extracted from multi-modality source data using RGB-D sensors. A hybrid shape descriptor is proposed as a representation of objects for recognition. We first extr...
متن کاملToward Object-based Place Recognition in Dense RGB-D Maps
Longterm localization and mapping requires the ability to detect when places are being revisited to “close loops” and mitigate odometry drift. The appearance-based approaches solve this problem by using visual descriptors to associate camera imagery. This method has proven remarkably successful, yet performance will always degrade with drastic changes in viewpoint or illumination. In this paper...
متن کاملViewpoint Invariant Descriptor for RGB-D Images
Traditional local features already achieve resistance toward changes in illumination, translation, rotation, and scale variance, thus play an important role in visual content retrieval. However, they are not stable to 3D rotation or viewpoint changes. This report aims to solve this problem by introducing depth sensor, a new kind of sensor which can capture depth with regular optical information...
متن کاملContextual object category recognition for RGB-D scene labeling
Recent advances in computer vision on the one hand, and imaging technologies on the other hand, have opened up a number of interesting possibilities for robust 3D scene labeling. This paper presents contributions in several directions to improve the state-of-the-art in RGB-D scene labeling. First, we present a novel combination of depth and color features to recognize different object categorie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2014
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v12i4.388