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(3) The traditional method of object detection based on feature matching can only detect and recognize one type object by a given template, but cannot model and classify multi type objects at the same time. .
In a scene collage, images of a scene are laid out using similarity transforms computed based on feature matching; the layer ordering of the images is determined automatically via an optimization procedure to make the collage appear least fragmented.
Conventional object retrieval or recognition methods based on feature matching sometimes fail when an object contains repetitive patterns, because features from repetitive patterns are too similar to each other.
Therefore, many useful methods have been proposed based on feature matching and structure identification.
Similar(56)
Shen et al. (2015) used the method of image retrieval based on feature template matching to extract the collapsed building information.
In this paper, we present a 3D reconstruction method based on the feature matching algorithm of a scale-invariant feature transform (SIFT).
Specifically, for each driving voxel, we searched in the neighborhood of the subject image for a number of candidate matching points based on feature similarity.
Here, the proposed cost aggregation method is applied with the DAISY feature descriptor for wide-baseline stereo matching; however, this method can also be applied to a fast growing number of stereo matching techniques that are based on feature descriptors.
Quantitatively, among 14,086 test sequences, on an average the proposed method misclassified only 21.1 sequences whereas baseline BLAST score based global feature matching method misclassified 362.9 sequences.
The better localization hit rate is demonstrated by comparing the proposed approach to previous work based on scale invariant feature matching and visual vocabulary.
This paper presents a novel 3D alignment method based on 2D local feature matching.
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