Open AccessPosted Content
Essential-Replica for Face Detection in the Large Appearance Variations
TLDR
The co-event amongst body and face is abused, which handles huge variations, for example, substantial impediments, to additionally support the face detection execution, and an Essential setting replica is proposed to together encrypt the yields of body andFace detector.Abstract:
Detecting face quiet have issues in managing pictures in the bare because of huge presence dissimilarities. Rather than exit look differences straightforwardly to measurable knowledge calculations, we suggest a various leveled (body-part) portion centered Essential replica to unequivocally catch them. This replica empowers part subtype alternative to deal with nearby appearance variations, for example, shut and exposed mouth, and body-portion distortion to catch the worldwide look differences, for example, posture and articulation. In recognition, applicant frame is fit to the Essential replica to surmise the portion area and portion subtype, and finding total is then processed in light of the fitted arrangement. Thusly, the impact of appearance variety is diminished. Other than the face replica, we abuse the co-event amongst body and face, which handles huge variations, for example, substantial impediments, to additionally support the face detection execution. We display an expression based portrayal for body detection, and propose an Essential setting replica to together encrypt the yields of body and face detector.read more
Citations
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Secure Data Transmission Through Steganography with Blowfish Algorithm
K. Vengatesan,Abhishek Kumar,Tusar Sanjay Subandh,Rajiv Vincent,Samee Sayyad,Achintya Singhal,Saiprasad Machhindra Wani +6 more
TL;DR: This work is another method for hide the data in a photo and minimum variety in the photo bits has been made, that create this method secured with more proficient in the method additionally connected a cryptography strategy.
References
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BookDOI
Handbook of Face Recognition
Stan Z. Li,Anil K. Jain +1 more
TL;DR: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems, as well as offering challenges and future directions.
Journal ArticleDOI
Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy
TL;DR: The presented algorithms use the fact that the relationship between stimulus and perception is logarithmic and afford a marriage between enhancement qualities and computational efficiency to choose the best parameters and transform for each enhancement.
Proceedings ArticleDOI
Blur determination in the compressed domain using DCT information
TL;DR: The paper presents a simple yet robust measure of image quality in terms of global (camera) blur based on histogram computation of non-zero DCT coefficients, which is directly applicable to images and video frames in compressed domain and to all types of MPEG frames.
Proceedings ArticleDOI
A no-reference sharpness metric sensitive to blur and noise
Xiang Zhu,Peyman Milanfar +1 more
TL;DR: A no-reference objective sharpness metric detecting both blur and noise is proposed, based on the local gradients of the image and does not require any edge detection.
BookDOI
Artificial Intelligence and Evolutionary Computations in Engineering Systems
TL;DR: The first € price and the £ and $ price are net prices, subject to local VAT, and the €(D) includes 7% for Germany, the€(A) includes 10% for Austria.