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This paper presents to detect the faces in an image and locates the facial features in an image. The detection of the facial parts such as eyes, nose, mouth and face is an important task in this process. This system is used to recognize and detect the parts of the human facial factors in an image. The study involves the algorithm of Viola-Jones Cascade Object Detector which gives various combination...
A large number of face recognition algorithms have been developed in last decades. Over the past four decades, performance of Face Recognition on frontal faces in controlled environment has improved significantly but frontal faces with uncontrolled environment and expression remains a challenge. The GBU Based Face Recognition Techniques focuses on the attention of the fundamental problem of comparing...
In the recent days, there has been a wide advancement in human computing systems. It always remains a challenge to make the computer system behave like how a human senses things. Computer Vision has been a pioneer in making things more automated and better for humans. This paper presents a study based approach for detecting human faces using the Viola Jones algorithm. We train our computer to automatically...
The object recognition and classification is a research problem in the field of computer vision. The computers are trained to automatically identify various objects present in a scene based on various features extracted from it. These features should be the unique ones that will differentiate one object from the other. In this paper, SURF features are extracted from the color image and combined to...
Adoption of LED lighting in large scale has opened a debate on how to evaluate performance of commercially available LED lighting products. In this paper a review of existing photometric flicker metrics and measurement methods for LED lighting products is discussed. There is an urgent need to characterize potentially visible temporal light artifacts, or popularly known as flicker from light sources...
In this paper, a variation in the Local Binary Pattern (LBP) called Modified Dominant Directional LBP (MDDLBP) is proposed. In this method, the direction of the feature with respect to its central pixel in the LBP is preserved by comparing the neighborhood of the pixel in the four dominant directions such as horizontal, vertical, diagonal and anti diagonal. This method captures complete structure...
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