Perception and recognition of faces presented upright are better than Perception and recognition of faces presented inverted. The difference between upright and inverted orientations is greater in face recognition than in non-face object recognition. This Face-Inversion Effect is explained by the “Configural Processing” hypothesis that inversion disrupts configural information processing and le...

Emotion recognition is very important for human-computer intelligent interaction. It is generally performed on facial or audio information by artificial neural network, fuzzy set, support vector machine, hidden Markov model, and so forth. Although some progress has already been made in emotion recognition, several unsolved issues still exist. For example, it is still an open problem which featu...

The objective of this proposed work is to recognize the real time small indoor objects from the any scene or image of our working environment for visually impaired. This will be efficiently detect and recognize the indoor objects. The objects are detected and segmented automatically by exploiting the geometrical properties of the image regions. Discrete Wavelet Transform (DWT), Discrete Cosine ...

in the last two decade the use of aerial laser scanner (als) or lidar (light detection and ranging) sensor in geomatics engineering and surveying application has augmented significantly . the main reason of the mentioned phenomenon is the reliability and accuracy of the data obtained by lidar sensors. the output of lidar is unclassified 3d point cloud. classification of the lidar point clouds i...

This study examines the influence of the geometrical intensity of an emotional facial expression on the perceived intensity and the recognition accuracy. The stimuli consisted of synthetic faces at ten geometrical intensity levels in each of the five emotional categories. A curve–linear relationship was found between geometrical and perceived intensity. Steps of 20% geometrical intensity appear...

The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection is used to identify meaningful and important features in face recognition. Modelling the characteristics which distinguish one person from another using only subsets of features will both decrease the computational cost and incre...