Face detection has been one of the most studied topics in the computer vision literature. In
this technical report, we survey the recent advances in face detection for the past decade …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

Multi-resolution image features may be approximated via extrapolation from nearby scales,
rather than being computed explicitly. This fundamental insight allows us to design object …

The design of complexity-aware cascaded detectors, combining features of very different
complexities, is considered. A new cascade design procedure is introduced, by formulating …

Cascades help make sliding window object detection fast, nevertheless, computational
demands remain prohibitive for numerous applications. Currently, evaluation of adjacent …

We present a generic detection/localization algorithm capable of searching for a visual
object of interest without training. The proposed method operates using a single example of …

The problem of optimal and automatic design of a detector cascade is considered. A novel
mathematical model is introduced for a cascaded detector. This model is analytically …

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 …

This paper addresses the problem of detecting human faces in noisy images. We propose a
method that includes a denoising preprocessing step, and a new face detection approach …

The problem of automatic and optimal design of embedded object detector cascades is
considered. Two main challenges are identified: optimization of the cascade configuration …