View-Independent Prediction of Body Dimensions in Crowded Environments

Are human faces unique? A metric approach to finding single individuals without duplicates in large samples

“…Attempts have been made to address criticisms by attempting to take measurements from images, however, this research is still in progress (Scoleri & Henneberg 2012, Scoleri, Lucas & Henneberg 2014). …”

Comparing the face to the body, which is better for identification?

“…Most of the studies which mention the body are doing so in reference to gait analysis [30,31]. Some studies have proved successful in taking measurements of the body from images [20,32,33]. Others have reconstructed one measurement (i.e.…”

“…Descriptive methods have been criticised on the basis that they are unreliable [16][17][18] and images are open to interpretation by the person analysing them [19]. In an attempt to make facial identification and recognition more reliable, research is concentrating on methods which take metric measurements from images [20,21]. However, it is important to note that these methods are still being developed and are often dependent on optimal lighting, pose and high image quality [22].…”

Metric Identification of the Same People from Images: How Reliable Is It?

“…Therefore, research has been focused on the application of interval scale measurements to images for the identification of individuals [7][8][9][10]. It has the advantage of reproducibility and the ability to calculate error rates [10].…”

“…It has the advantage of reproducibility and the ability to calculate error rates [10]. Disadvantages of the methods that use interval scale measurements are that they require complex analytical formulae [7][8][9][10] and the processes are tedious and thus time consuming. Taking reliable interval scale measurements from 2D images is difficult because of perspective (angular distortion) and possible rectilinear and curvilinear distortions that could result from the quality of the video equipment used [11].…”