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Template Matching

Template matching is a technique that is used to find a subimage or a patch (called the template) within a larger image. The basic idea behind template matching is to slide the template image over the larger image and compare the template to each portion of the larger image to determine the similarity between the template and the corresponding portion of the larger image.

Papers

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Showing 151–160 of 219 papers

TitleStatusHype
Efficient Sliding Window Computation for NN-Based Template MatchingCode0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages—0
Mammography Dual View Mass Correspondence—0
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring—0
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera—0
TernausNetV2: Fully Convolutional Network for Instance SegmentationCode0
Matching Pixels Using Co-Occurrence Statistics—0
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck—0
Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking—0
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