An efficient algorithm for exhaustive template matching based on normalized cross correlation

Stefano, Luigi Di; Mattoccia, Stefano; Mola, M.

doi:10.1109/iciap.2003.1234070

Cited by 53 publications

(30 citation statements)

References 7 publications

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“…containing the object [3] . The object in the target image will increasingly blur with increasing exposure time and increasing motion amplitude, which will weaken the peak correlation strength.…”

Section: Experiments Resultsmentioning

confidence: 99%

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Emulation of Anti-alias Filtering in Vision Based Motion Mmeasurement

Hyun¹

2011

The Journal of Korea Robotics Society

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This paper presents a method, Exposure Controlled Temporal Filtering (ECF), applied to visual motion tracking, that can cancel the temporal aliasing of periodic vibrations of cameras and fluctuations in illumination through the control of exposure time. We first present a theoretical analysis of the exposure induced image time integration process and how it samples sensor impingent light that is periodically fluctuating. Based on this analysis we develop a simple method to cancel high frequency vibrations that are temporally aliased onto sampled image sequences and thus to subsequent motion tracking measurements. Simulations and experiments using the 'Center of Gravity' and Normalized Cross-Correlation motion tracking methods were performed on a microscopic motion tracking system to validate the analytical predictions

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Section: Experiments Resultsmentioning

confidence: 99%

“…The cancellation criterion also applies to this motion measurement. Simulation and experiment results are shown for motion tracking with FOIM and with normalized cross-correlation (NCC) [3] . High frequency object-camera relative vibration will cause i (x, y, t) to fluctuate at the same frequency.…”

Section: Introduction1 )mentioning

confidence: 99%

Emulation of Anti-alias Filtering in Vision Based Motion Mmeasurement

Hyun¹

2011

The Journal of Korea Robotics Society

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“…The test image is being also processed for key point generation to mark the key descriptors as shown in Fig 9. The key point of the test image has been matched with the background key point [13] of the template image as shown in The object which has been matched with the template image has been selected from the test image and converted into a binary image. Before the conversion of the binary image the test image on the whole gets converted into binary image [15].…”

Section: Resultsmentioning

confidence: 99%

Implementation of SIFT for detection of electronic waste

Vallikannu¹,

Nithya²

2018

IJET

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The paper focuses on the investigation of image processing of Electronic waste detection and identification in recycling process of all Electronic items. Some of actually collected images of E-wastes would be combined with other wastes. For object matching with scale in-variance the SIFT (Scale -Invariant-Feature Transform) is applied. This method detects the electronic waste found among other wastes and also estimates the amount of electronic waste detected the give set of wastes. The detection of electronics waste by this method is most efficient ways to detect automatically without any manual means.

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“…Accounting for such disturbances requires extensive usage of system memory, which is also heavily used by the computation of feature extraction and template pattern matching for real-time recording of image features. As a result, motion can not be time-efficiently tracked and real-time control has its limited performances [2], [3]. Furthermore, the required imagecapturing equipments are too costly.…”

Section: Introductionmentioning

confidence: 99%

A Real-time Visual Servo Architecture for a Golden Fish Catching System

Shih

2008

Measurement and Control

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An efficient algorithm for exhaustive template matching based on normalized cross correlation

Cited by 53 publications

References 7 publications

Emulation of Anti-alias Filtering in Vision Based Motion Mmeasurement

Emulation of Anti-alias Filtering in Vision Based Motion Mmeasurement

Implementation of SIFT for detection of electronic waste

A Real-time Visual Servo Architecture for a Golden Fish Catching System

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