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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 201–219 of 219 papers

TitleStatusHype
Deep-VFX: Deep Action Recognition Driven VFX for Short Video—0
Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture—0
Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking—0
Displacement field calculation of large-scale structures using computer vision with physical constraints—0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation—0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
DTM: Deformable Template Matching—0
ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing—0
Edge Based Oriented Object Detection—0
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking—0
Einstein from Noise: Statistical Analysis—0
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck—0
Explaining Away Results in Accurate and Tolerant Template Matching—0
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information—0
Extraction of airway trees using multiple hypothesis tracking and template matching—0
Extraction of Daily Changing Words for Question Answering—0
Facial emotion recognition using min-max similarity classifier—0
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring—0
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