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SiFT: An efficient method for Trajectory Based Forwarding
2005 2nd International Symposium on Wireless Communication Systems, 2005Trajectory based forwarding (TBF) is a new approach for routing in ad hoc wireless networks. It assumes that nodes know their position and, similarly to source routing, requires the source node to encode a trajectory into the packet header. However, trajectories are just geometrical lines and the routing process does not require specifying forwarding ...
CAPONE, ANTONIO +3 more
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Method of item recognition based on SIFT and SURF
Mathematical Structures in Computer Science, 2014Item recognition has become a hotspot in the field of computer vision research. SIFT has the advantage of requiring a low amount of information, a fast running speed and high precision, but it requires large data calculations and thus takes a long time to perform the item recognition.
Wenyu Chen, Wenzhi Xie, Ru Zeng
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A Description Method for MSER with SIFT Descriptor
Applied Mechanics and Materials, 2011Maximally Stable Extremal Regions are robust to complex affine distortion and illumination changes between reference image and real-time image. On the basis of deeply research on the SIFT descriptor, this paper propose a description algorithm for MSER using SIFT descriptor.
Xiao Hu Fan +4 more
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A SIFT-SVM method for detecting cars in UAV images
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012In the last years, the advent of unmanned aerial vehicles (UAVs) for civilian remote sensing purposes has generated a lot of interest because of the various new applications they can offer. One of them is represented by the automatic detection and counting of cars. In this paper, we propose a novel car detection method.
T. Moranduzzo, Melgani, Farid
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A sift-based method for image mosaic
2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010This paper proposes a mosaic algorithm based on SIFT(Scale Invariant Feature Trasform). Keypoints and their descriptors are exacted by SIFT, which ensures the algorithm robust to translation, rotation, noise and scalling. Then proposed matching algorithm is used to match the keypoints. First, rough match pairs are obtained by Nearest Neighbor algorithm.
null Meiqun Jiang +3 more
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A SIFT-Based Image Fusion Method
2018 14th IEEE International Conference on Signal Processing (ICSP), 2018Aimed at the wrong matching appearance when applying Scale Invariant Feature Transform (SIFT) to image fusion. In this paper, we propose to use the SIFT to find the featured points and matched featured points primarily for image fusion. The double Otsu method and average distance threshold segmentation method are used to remove mismatching points and ...
Danxia Lu, Hongjian Shi
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A Method of Acceleration Applied in Symmetric-SIFT and SIFT
2013Symmetric-SIFT is an effective technique used for registering multimodal images. It is based on a well-known image registration technique named Scale Invariant Feature Transform (SIFT). Similar to SIFT, Symmetric-SIFT detects many stable keypoints even though not all of which are useful.
Dong Zhao +3 more
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M-SIFT: A new method for Vehicle Logo Recognition
2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), 2012In this paper, a new algorithm for Vehicle Logo Recognition is proposed, on the basis of an enhanced Scale Invariant Feature Transform (Merge-SIFT or M-SIFT). The algorithm is assessed on a set of 1500 logo images that belong to 10 distinctive vehicle manufacturers.
Apostolos P. Psyllos +2 more
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An adaptive parameterization method for SIFT based video stabilization
2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR), 2010Video stabilization is used to eliminate unwanted shakiness in video caused by movement of the camera. This can be achieved by estimating the motion of the camera, filtering out the high frequency components in the motion path and warping the video frames in order to compensate for the motion.
Varun Santhaseelan, Vijayan K. Asari
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Coin Recognition Method Based on SIFT Algorithm
2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017Coin recognition is one of the prime important activities for modern banking and currency processing systems in which machine vision is widely used. The technique at the heart of such systems is object recognition in a digital image. Although it has high recognition speed, the traditional method of coin recognition can not recognize the coins with ...
Jing Xu +3 more
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