Results 51 to 60 of about 169,436 (225)
Lorentz violation, Gravity, Dissipation and Holography [PDF]
We reconsider Lorentz Violation (LV) at the fundamental level. We show that Lorentz Violation is intimately connected with gravity and that LV couplings in QFT must always be fields in a gravitational sector.
A Dhar+98 more
core +4 more sources
Parallelizing Scale Invariant Feature Transform on a Distributed Memory Cluster [PDF]
Scale Invariant Feature Transform (SIFT) is a computer vision algorithm that is widely-used to extract features from images. We explored accelerating an existing implementation of this algorithm with message passing in order to analyze large data sets ...
Bobovych, Stanislav
core +2 more sources
A Full-Featured FPGA-Based Pipelined Architecture for SIFT Extraction
Image feature detection is a key task in computer vision. Scale Invariant Feature Transform (SIFT) is a prevalent and well known algorithm for robust feature detection.
Philipp Kreowsky, Benno Stabernack
doaj +1 more source
Rotation and Scale Invariant Texture Classification [PDF]
Texture classification is very important in image analysis. Content based image retrieval, inspection of surfaces, object recognition by texture, document segmentation are few examples where texture classification plays a major role.
Agarwal, Anubhav, Manohar, Madhukar
core
Recently sparse coding have been highly successful in image classification mainly due to its capability of incorporating the sparsity of image representation.
Bao, Chengqiang+2 more
core +1 more source
Improved SIFT algorithm for place categorization [PDF]
The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed.
Ahmad, Siti Anom+3 more
core +1 more source
A Zero-Watermarking Algorithm Based on Scale-Invariant Feature Reconstruction Transform
In order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors.
Fan Li, Zhong-Xun Wang
doaj +1 more source
Learning Robust Feature Descriptor for Image Registration With Genetic Programming
The robustness and accuracy of feature descriptor are two essential factors in the process of image registration. Existing feature descriptors can extract important image features, but it may be difficult to find enough correct correspondences for ...
Yue Wu+4 more
doaj +1 more source
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang+3 more
core +1 more source
Differences in sensor types, resolutions, and imaging conditions can lead to considerable spectral differences in heterogeneous optical remote sensing images and the similarity of scale-invariant feature transform (SIFT) or local self-similarities (LSS ...
Li Xue, Yehua Sheng, Ka Zhang
doaj +1 more source