Estimation of Personal Height From the Percutaneous Length of Ulna in Maharashtra Region (Regression Analysis)

E., Pawar Sudhir; Zambare, B. R.; Veeramalla, Lingaswamy

doi:10.21088/ijfmp.0974.3383.9316.5

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In previous studies by Saxena et al (8) on Agra population, Jadav HR, Shah GV (9) on Gujarat population, Sudhir PE et al (10) on Maharashtra population, Seema and Mahajan A (11) on Punjab population, Santosh et al (12) on Rajasthan population, Richards, Elizabeth (13) on an American White population, Ryan I, Bidmos MA (14) …”

Section: Discussionmentioning

confidence: 95%

Correlation of Stature with Head Circumference – An Observational Study

Bethi¹

2017

jmscr

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 95%

Correlation of Stature with Head Circumference – An Observational Study

Bethi¹

2017

jmscr

View full text Add to dashboard Cite

“…Regression analysis is thought to be the most accurate and straightforward method for determining stature from bones [28]. Many studies have been conducted to improve the accuracy of regression equations used to calculate stature using foot and footprint measurements [1,8,16,18].…”

Section: Discussionmentioning

confidence: 99%

“…Forensic investigators have found a correlation between each part of the body; analysis of foot measurements [7][8][9][10][11][12][13][14][15][16][17][18] and footprints [5,[19][20][21][22][23][24] can help in stature estimation due to the presence of a relation between foot dimensions and an individual's stature.…”

Section: Introductionmentioning

confidence: 99%

Estimation of an Individual Stature Using Foot, Foot Outlines and Footprint Measurements in Adult Saudi Population

El-Elemi

Ibrahim

Kornieieva

et al. 2021

AJFSFM

View full text Add to dashboard Cite

Identification of an individual is considered one of the fundamental challenges for forensic scientists, especially from dismembered and mutilated body parts. To limit the pool of conceivable suspects in the forensic investigation process, footprints and foot outlines found at the crime scene are used to ease estimation of stature. The current study aimed to estimate individual stature using foot, foot outline and footprint measurements in a Saudi Arabian population. A descriptive cross-sectional study was carried out on two hundred healthy medical students from the Faculty of Medicine at the University of Tabuk in Saudi Arabia. Stature measurements and eight foot, foot outline and footprint measurements were taken from both sides. Saudi adult males were significantly taller than Saudi females. All measurement values were significantly higher in adult males than in adult females. Most measurements were considered to be positively correlated with stature in both sexes. Regression equations and multiple regression equations for stature determination from all measurements in both male and females on both sides were created. This study has demonstrated the reliability and utility of foot, foot outline and footprint measurements in stature estimation in a Saudi Arabian population that comparable standards developed from foot bones.

show abstract

“…These masks indicate the coarse regions of the target parts. To measure the proportion of human figure, head length (HL) is widely used as the basic unit [40, 41]. As shown in Fig.…”

Section: Parsing Fashion Image Into Mid‐level Partsmentioning

confidence: 99%

Parsing fashion image into mid‐level semantic parts based on chain‐conditional random fields

Wang

Zhao

Yin

et al. 2016

IET Image Processing

View full text Add to dashboard Cite

In this study, the authors address the problem of parsing fashion images into mid-level semantic parts including upper-clothing, lower-clothing, skin, hair and background. These mid-level parts provide the regional information of fashion items and have potential value in high-level parsing process. The key idea of the method is to parse the midlevel parts by region expanding. Owing to the co-occurrence of pose skeleton and the proposed parts, the region expanding process starts from the super-pixels crossed by specific segments of pose skeleton. The super-pixels are then merged with their neighbours by conditional inference based on their position and perceptual similarity. To avoid the difficulties of training on arbitrary graph structures, conditional random fields (CRFs) are constructed on super-pixel chains, which are extracted from the generated expanding trees. This is followed by a voting stage to mix up the probabilities estimated by the chain-CRFs to obtain the final result. Experiments on two datasets show that the new method outperforms related approaches in regional accuracy and has good generalisation capability. Furthermore, the method can be easily employed to improve the performance of high-level parsing. Its effectiveness has been verified by another group of experiments on two state-of-the-art high-level parsing approaches.

show abstract

Estimation of Personal Height From the Percutaneous Length of Ulna in Maharashtra Region (Regression Analysis)

Cited by 3 publications

References 0 publications

Correlation of Stature with Head Circumference – An Observational Study

Correlation of Stature with Head Circumference – An Observational Study

Estimation of an Individual Stature Using Foot, Foot Outlines and Footprint Measurements in Adult Saudi Population

Parsing fashion image into mid‐level semantic parts based on chain‐conditional random fields

Contact Info

Product

Resources

About