Keyframe-Based Camera Relocalization Method Using Landmark and Keypoint Matching

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient keyframe-based real-time camera tracking

We present a novel keyframe-based global localization method for markerless real-time camera tracking. Our system contains an offline module to select features from a group of reference images and an online module to match them to the input live video for quickly estimating the camera pose. The main contribution lies in constructing an optimal set of keyframes from the input reference images, w...

متن کامل

Robust Keyframe-based Dense SLAM with an RGB-D Camera

In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM approach for an RGB-D camera that can robustly handle fast motion and dense loop closure, and run without time limitation in a moderate size scene. It not only can be used to scan high-quality 3D models, but also can satisfy the demand of VR and AR applications. First, we combine color and depth information to construct a ve...

متن کامل

Fast Simultaneous Tracking and Recognition Using Incremental Keypoint Matching

This paper presents a unified approach to object recognition and object tracking, combining local feature matching with optical flow. Like many traditional recognition algorithms, the one described here implements recognition by matching detected image patches against a database of known objects. This algorithm, however, matches keypoints incrementally, meaning that it only tests a few keypoint...

متن کامل

Content-Based Keyframe Clustering Using Near Duplicate Keyframe Identification

In this paper, the authors propose an effective content-based clustering method for keyframes of news video stories using the Near Duplicate Keyframe (NDK) identification concept. Initially, the authors investigate the near-duplicate relationship, as a content-based visual similarity across keyframes, through the Near-Duplicate Keyframe (NDK) identification algorithm presented. The authors assi...

متن کامل

Keypoint descriptor matching with context-based orientation estimation

This paper presents a matching strategy to improve the discriminative power of histogram-based keypoint descriptors by constraining the range of allowable dominant orientations according to the context of the scene under observation. This can be done when the descriptor uses a circular grid and quantized orientation steps, by computing or providing a global reference orientation based on the fe...

متن کامل

ذخیره 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: IEEE Access

سال: 2019

ISSN: 2169-3536

DOI: 10.1109/access.2019.2925121