The Effect of Feature Displacement on Face Recognition

Perception ◽  
1984 ◽  
Vol 13 (5) ◽  
pp. 505-512 ◽  
Author(s):  
Nigel D Haig

Human beings possess a remarkable ability to recognise familiar faces quickly and without apparent effort. In spite of this facility, the mechanisms of visual recognition remain tantalisingly obscure. An experiment is reported in which image processing equipment was used to displace slightly the features of a set of original facial images to form groups of modified images. Observers were then required to indicate whether they were being shown the “original” or a “modified” face, when shown one face at a time on a TV monitor screen. Memory reinforcement was provided by displaying the original face at another screen position, between presentations. The data show, inter alia, the very high significance of the vertical positioning of the mouth, followed by eyes, and then the nose, as well as high sensitivity to close-set eyes, coupled with marked insensitivity to wide-set eyes. Implications of the results for the use of recognition aids such as Identikit and Photofit are briefly discussed.

Author(s):  
Manuel Günther ◽  
Stefan Böhringer ◽  
Dagmar Wieczorek ◽  
Rolf P. Würtz

Graphs labeled with complex-valued Gabor jets are one of the important data formats for face recognition and the classification of facial images into medically relevant classes like genetic syndromes. We here present an interpolation rule and an iterative algorithm for the reconstruction of images from these graphs. This is especially important if graphs have been manipulated for information processing. One such manipulation is averaging the graphs of a single syndrome, another one building a composite face from the features of various individuals. In reconstructions of averaged graphs of genetic syndromes, the patients' identities are suppressed, while the properties of the syndromes are emphasized. These reconstructions from average graphs have a much better quality than averaged images.


Author(s):  
Ojahan Sihombing ◽  
Efori Buulolo ◽  
Henry Kristian Siburian

As the development of research technology on Digital Image Processing continues to grow. Likewise, the improvement of the quality of sharpness / subtlety of the Gorga Batak images is an important thing to improve. This is one of the ways to preserve the Batak tribe area so that Gorga-gorga are still remembered and more interpreted. The cause of the need to be improved is the image of Gorga Batak is caused by several factors that cause the image to be less beautiful if it is interpreted by human beings such as the shape has been blurred (dark) due to shooting / shooting, has noise black spots on the image (noise), and the color is dull out of date. As an effort to improve image, the segmentation process is carried out by doing edge detection on the image, then the Morphological Operation Method will be implemented as one of the methods in Digital Image Processing that implements image quality improvement based on the shape and structure of the image. In this image processing, the Dilation Operation Technique and Operation Technique will be carried out. In Operation Dilation Techniques works by adding several segments (pixels) in the image so as to increase the integrity / sharpness of the structure of the image. While the Erosion Operation Technique will reduce / refine unnecessary parts / segments of the image so that the resulting image looks smoother, so that it can be more interpreted by humans and can be reused both as documentation of regional culture and so on. Using this method is expected to be able to improve and improve the quality / sharpness of Citra Gorga Batak. To facilitate the operation of the program design tools will be used, namely Matlab.Keywords: Image Improvement, Gorga Batak, Morphological Operation Method


Author(s):  
T.Y. Chang ◽  
J.E. Zucker ◽  
K.L. Jones ◽  
N.J. Sauer ◽  
B. Tell ◽  
...  

Perception ◽  
1986 ◽  
Vol 15 (4) ◽  
pp. 373-386 ◽  
Author(s):  
Nigel D Haig

For recognition of a target there must be some form of comparison process between the image of that target and a stored representation of that target. In the case of faces there must be a very large number of such stored representations, yet human beings seem able to perform comparisons at phenomenal speed. It is possible that faces are memorised by fitting unusual features or combinations of features onto a bland prototypical face, and such a data-compression technique would help to explain our computational speed. If humans do indeed function in this fashion, it is necessary to ask just what are the features that distinguish one face from another, and also, what are the features that form the basic set of the prototypical face. The distributed apertures technique was further developed in an attempt to answer both questions. Four target faces, stored in an image-processing computer, were each divided up into 162 contiguous squares that could be displayed in their correct positions in any combination of 24 or fewer squares. Each observer was required to judge which of the four target faces was displayed during a 1 s presentation, and the proportion of correct responses for each individual square was computed. The resultant response distributions, displayed as brightness maps, give a vivid impression of the relative saliency of each feature square, both for the individual targets and for all of them combined. The results, while broadly confirming previous work, contain some very interesting and surprising details about the differences between the target faces.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Volker Abetz ◽  
Torsten Brinkmann ◽  
Mustafa Sözbilir

Abstract The paper gives an introduction to membrane science and technology, an area of research of high significance for the development of a sustainable life for human beings. It is therefore intended to be a guide for teachers in the areas of chemistry, physics, or biology, who can incorporate the presented materials in their respective courses. The paper gives some insights into the different types of membranes, their functions, production and use in some selected areas.


2021 ◽  
Vol 13 (5) ◽  
pp. 904
Author(s):  
Tomasz Pirowski ◽  
Michał Marciak ◽  
Marcin Sobiech

This paper presents a selected aspect of research conducted within the Gaugamela Project, which seeks to finally identify the location of one of the most important ancient battles: the Battle of Gaugamela (331 BCE). The aim of this study was to discover material remains of the Macedonian military camp on the Navkur Plain in Kurdish Iraq. For this purpose, three very high resolution satellite (VHRS) datasets from Pleiades and WorldView-2 were acquired and subjected to multi-variant image processing (development of different color composites, integration of multispectral and panchromatic images, use of principle component analysis transformation, use of vegetation indices). Documentation of photointerpretation was carried out through the vectorization of features/areas. Due to the character of the sought-after artifacts (remnants of a large enclosure), features were categorized into two types: linear features and areal features. As a result, 19 linear features and 2 areal features were found in the study area of the Mahad hills. However, only a few features fulfilled the expected geometric criteria (layout and size) and were subjected to field groundtruthing, which ended in negative results. It is concluded that no traces have been found that could be interpreted as remnants of an earthen enclosure capable of accommodating around 47,000 soldiers. Further research perspectives are also suggested.


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