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» SIFT Features Tracking for Video Stabilization
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ICIAP
2007
ACM
14 years 5 months ago
SIFT Features Tracking for Video Stabilization
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
DPHOTO
2009
353views Hardware» more  DPHOTO 2009»
13 years 3 months ago
Fuzzy-based motion estimation for video stabilization using SIFT interest points
In this paper we present a technique which infers interframe motion by tracking SIFT features through consecutive frames: feature points are detected and their stability is evalua...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
IROS
2006
IEEE
205views Robotics» more  IROS 2006»
13 years 11 months ago
Good Image Features for Bearing-only SLAM
Abstract— In this paper, we propose an algorithm for extracting and selecting SIFT (scale-invariant feature transform) visual features for bearing-only SLAM in indoor environment...
Xiang Wang, Hong Zhang
CRV
2007
IEEE
224views Robotics» more  CRV 2007»
13 years 12 months ago
Real-time eye blink detection with GPU-based SIFT tracking
This paper reports on the implementation of a GPUbased, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. This detector is part o...
Marc Lalonde, David Byrns, Langis Gagnon, Normand ...
IV
2007
IEEE
222views Visualization» more  IV 2007»
13 years 11 months ago
Video Stabilization Using Scale-Invariant Features
Video Stabilization is one of those important video processing techniques to remove the unwanted camera vibration in a video sequence. In this paper, we present a practical method...
Rong Hu, Rongjie Shi, I-Fan Shen, Wenbin Chen