Image contour detection is fundamental to many image analysis applications, including
image segmentation, object recognition and classification. However, highly accurate image …

The integral image is typically used for fast integrating a function over a rectangular region in
an image. We propose a method that extends the integral image to do fast integration over …

Human face detection and recognition is a hot topic and an active area of research. It is
common in several fields such as image processing and computer vision. It is the primary …

Direct terrain classification from monocular images for autonomous navigation of planetary
rovers is a relatively new and challenging research area, not only because of the hardware …

This paper presents a novel 3D shape descriptor" the generalized shape distributions" for
effective shape matching and analysis, by taking advantage of both local and global shape …

Concepts for facial tracking with classifiers is disclosed. One or more faces are detected and
tracked in a series of video frames that include at least one face. Video is captured and …

The problem of learning classifier cascades is considered. A new cascade boosting
algorithm, fast cascade boosting (FCBoost), is proposed. FCBoost is shown to have a …

Face detection and face recognition are the most widely used features of machine learning
(ML) and deep learning (DL). These features are slowly gaining popularity in fields like …

Digital cameras and smartphones with orientation sensors enable portrait images to rotate
automatically. This is done by using an image file's metadata, which is in the exchangeable …

Object detection has been one of the most studied topics in the computer vision literature. To
detect an object in an image, the detector must have knowledge of the characteristics of the …