Results 51 to 60 of about 9,087 (206)
Person identification through emotions using violas Jones algorithm
IOSR Journal of Electronics and Communication Engineering, 2014 This paper presents an algorithm to identify a person through his emotional state using neural network which are completed in two phase, first is database creation in which we take user image and an audio file as an input, and add the features to the database. This is done by the code named createDatabase.m in MATLAB.
Dolly Reney, Dr.Neeta Tripathi
openaire +1 more source
Evolution of the Viola-Jones Object Detection Method: A Survey
Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software", 2021 Summary: The Viola and Jones algorithm is one of the most well-known methods of object detection in digital images. Over the past 20 years since the first publication, the method has been extensively studied, and many modifications of the original algorithm and its individual parts have been proposed by researchers and engineers. Some ideas popularized
Arlazarov, Vladimir Viktorovich +4 more
openaire +2 more sources
Policy Studies Journal, EarlyView.ABSTRACT Based on the Punctuated Equilibrium Theory (PET) and implementation research, this study proposes an extended conceptualization of policy punctuation that enables researchers to systematically include policy implementation as part of a punctuation. The key mechanisms underlying the PET, i.e., policy image and venue, information processing, and
Bettina Stauffer
wiley +1 more source
Stereo Based 3D Face Reconstruction [PDF]
, 2013 Tato práce se zabývá vytvořením programu pro rekonstrukc trojrozměrného modelu lidské tváře za pomocí dvojice kamer. Pro řešení využívá výpočtu hloubkové mapy a následný převod do trojrozměrného prostoru.
Falešník, Milan
core
An Efficient and Cost Effective FPGA Based Implementation of the Viola-Jones Face Detection Algorithm [PDF]
, 2017 We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones face detection algorithm, which is an essential building block in many applications such as video surveillance and tracking.
Ababei, Cristinel +4 more
core +4 more sources
Global Change Biology Communications, Volume 1, Issue 2, June 2026.A hysteretic model predicts a time lag in the response of herbaceous layer variables (e.g., cover, diversity) to decreasing N deposition. To the contrary, virtually all such variables displayed a surprising sensitivity to decreased N. ABSTRACT Increases in nitrogen (N) emissions during the 20th century resulted in the atmospheric deposition of N ...
Frank S. Gilliam +2 more
wiley +1 more source
New Zealand Geological Timescale 2025
New Zealand Journal of Geology and Geophysics, Volume 69, Issue 1, March 2026.New Zealand Geological Timescale 2025 (NZGT 2025) is the first comprehensive update and revision of the New Zealand Geological Timescale in a decade. The criteria used to establish age ranges of New Zealand Stages within the NZGT have been reviewed, calibrated, and revised where required against the 2023/04 International Chronostratigraphic Chart and ...
Christopher D. Clowes +13 more
wiley +1 more source
CHIPSET, 2022 The library is one of the facilities used as a place to obtain information, improve literacy, and develop knowledge and insight. The level of security that is still lacking causes the high threat of crime caused and the spread of the virus which is ...
Shalsabilla Syaqila, Dodon Yendri
doaj +1 more source
Survey on Robust Object Detection [PDF]
, 2011 This poster presents a well known object detection technique, which has been used for long time. Viola-Jones approach, is a real time object detection algorithm, which is mostly used for face detection.
Abualkibash, Munther Hamad +2 more
core
Robust multi-clue face tracking system [PDF]
, 2009 In this paper we present a multi-clue face tracking system, based on the combination of a face detector and two independent trackers. The detector, a variant of the Viola-Jones algorithm, is set to generate very low false positive error rate.
Cao, Yujia +3 more
core +2 more sources