A General Approach on Facial Feature Extraction and Face Attributes

Pramod, R. T.; Sandhya, S

doi:10.1109/csitss.2018.8768504

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Commercial companies (e.g., FacePlusPlus) provide publicly accessible APIs that take a photo as the input then return the attributes of detected faces (Supplementary Figure S2), such as gender, age, and expression (Smile vs not smile) with accuracies relatively close to the performance of human raters (Jung et al, 2018). It has been used in many studies (Patil et al, 2018) as a reliable tool.…”

Section: Methodsmentioning

confidence: 99%

Analyze the usage of urban greenways through social media images and computer vision

Song

Ning

et al. 2022

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

Urban greenway is an emerging form of urban landscape offering multifaceted benefits to public health, economy, and ecology. However, the usage and user experiences of greenways are often challenging to measure because it is costly to survey such large areas. Based on the online postings from Instagram in 2017, this paper used Computer Vision (CV) technology to analyze and compare how the general public uses two typical greenway parks, The High Line in New York City and the Atlanta Beltline in Atlanta. Face and object detection analysis were conducted to infer user composition, activities, and key experiences. We presented the temporal patterns of Instagram postings as well as the group gatherings, smiling, and representative objects detected from photos. Our results have shown high user engagement levels for both parks while teens are significantly underrepresented. The High Line had more group activities and was more active during weekdays than the Atlanta Beltline. Stronger sense of escape and physical activities can be found in Atlanta Beltline. In summary, social media images like Instagram can provide strong empirical evidence for urban greenway usage when combined with artificial intelligence technologies, which can support the future practice of landscape architecture and urban design.

show abstract

Section: Methodsmentioning

confidence: 99%

Analyze the usage of urban greenways through social media images and computer vision

Song

Ning

et al. 2022

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

show abstract

“…Some well-known and essential techniques used in these approaches are SIFT, LBP (which is discussed in Sub Section 4-E), Gabor Wavelet Technic [18], PCA, and LDA (which is discussed in Sub Section 4-C).…”

Section: Facial Recognitionmentioning

confidence: 99%

“…They employed specially enhanced SLBP and HOG as part of their hybrid feature selection and local feature representation approach to enhance the recognition rate.Zahraddeen et al[39] Sufyana Zahraddeen et al proposed a new framework namely "ASDCT" which uses anisotropic diffusion illumination normalization technique and DCT in order to tolerate poor illumination of the images Huang et al[40] Zheng-Hai Huang et al proposed a method for facial recognition using 2D-DWT and a new patch strategy, which is used to represent the structural features of a face. These patches are further used to compare the testing and trained images.Payil et al[18] P. R. Police Patil et al described the various methods to extract facial features and attributes. These extracted features have different kinds of applications Archana et al[15]…”

mentioning

confidence: 99%

A Concise Survey on Biometric Recognition Methods

Kanakam,

Jubilson,

Emani

et al. 2023

IJCDS

View full text Add to dashboard Cite

In this modern era, user authentication has become vital regarding security and privacy in keeping their information and valuables safe. Password or pin-based authentication systems are insufficient to protect the security of individuals. People now anticipate more dependable and secure biometric authentication systems as a result of virtualization in both academics and industry. In this study, we discussed biometrics, various biometric authentication methods, and the work in each biometric system. We summarised and emphasised the significant contribution made by several researchers in this field. Our goal is to present a thorough analysis that may throw light on the important contributions and aid researchers looking to contribute their work to biometrics.

show abstract

A General Approach on Facial Feature Extraction and Face Attributes

Cited by 2 publications

References 0 publications

Analyze the usage of urban greenways through social media images and computer vision

Analyze the usage of urban greenways through social media images and computer vision

A Concise Survey on Biometric Recognition Methods

Contact Info

Product

Resources

About