Results 311 to 320 of about 3,367,886 (347)

Matching Images Using Linear Features

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984
We describe techniques for matching two images or an image and a map. This operation is basic for machine vision and is needed for the tasks of object recognition, change detection, map up-dating, passive navigation, and other tasks. Our system uses line-based descriptions, and matching is accomplished by a relaxation operation which computes most ...
Gérard G. Medioni, Ramakant Nevatia
openaire   +2 more sources

Random projections for feature matching

Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014
Several methods of random projection for feature matching are investigated. These include: random projections of established feature descriptors for dimensionality reduction; random projections of raw image data as feature descriptors; random projections of raw image data as keypoint detectors; and random projections as stereo keypoint detectors and ...
openaire   +1 more source

Features and Matching

2012
In many visual effects applications, we need to relate images taken from different perspectives or at different times. For example, we often want to track a point on a set as a camera moves around during a shot so that a digital creature can be later inserted at that location.
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Feature match

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, 2012
Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the image processing community in the recent years. Two important papers viz. PatchMatch [3] and CSH [11] have been developed over the past few years based on the coherency between images, but one major problem ...
S. Avinash Ramakanth, R. Venkatesh Babu
openaire   +1 more source

Matching Affine Features with the SYBA Feature Descriptor

2014
Many vision-based applications require a robust feature descriptor that works well with image deformations such as compression, illumination, and blurring. It remains a challenge for a feature descriptor to work well with image deformation caused by viewpoint change.
Alok Desai, Dah-Jye Lee, Dan Ventura
openaire   +1 more source

Feature Point Matching with Matching Distribution

2015
Most of the feature point matching techniques considers only the number of matches. The higher number of matches is, the better results are. However, reliability and quality of the matching is addressed in a few techniques. So, finding the good matches of the pairs of points from the two given point sets is one of the main issue of feature point ...
San Ratanasanya, Jumpol Polvichai, Booncharoen Sirinaovakul   +2 more
openaire   +1 more source

Feature Representation and Feature Matching for Heterogeneous Defect Prediction

2019
Software Defect Prediction (SDP) is one of the highly influential software engineering research topics. Early within-project defect prediction (WPDP) used intra-project data. However, it has limitations in prediction efficiency for new projects and projects without adequate training data.
Thae Hsu Hsu Mon, Hnin Min Oo
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Feature to Feature Matching for LBP Based Face Recognition

2015
This paper presents a novel face recognition method called Local Binary Patterns with Feature to Feature Matching (LBP-FF). Contrary to other LBP approaches, we do not focus on the operator itself, however we would like to improve the matching procedure.
Ladislav Lenc, Pavel Král
openaire   +1 more source

Robust feature matching via advanced neighborhood topology consensus

Neurocomputing, 2021
Yizhang Liu, Yanping Li, Luanyuan Dai
exaly  

Orientation feature for fingerprint matching

Pattern Recognition, 2006
Jayant V. Kulkarni, Bhushan D. Patil, Raghunath S. Holambe   +2 more
openaire   +1 more source