Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …

Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

Video-based human pose recovery is usually conducted by retrieving relevant poses using
image features. In the retrieving process, the map** between 2D images and 3D poses is …

To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on
the bag-of-visual-words (BOW) model, in which local features are quantized into visual …

" This library is useful for practitioners, and is an excellent tool for those entering the field: it
is a set of computer vision algorithms that work as advertised."-William T. Freeman …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

We introduce 4PCS, a fast and robust alignment scheme for 3D point sets that uses wide
bases, which are known to be resilient to noise and outliers. The algorithm allows registering …

State-of-the-art image classification methods require an intensive learning/training stage
(using SVM, Boosting, etc.) In contrast, non-parametric nearest-neighbor (NN) based image …

Sketch-based image retrieval (SBIR) is a challenging task due to the ambiguity inherent in
sketches when compared with photos. In this paper, we propose a novel convolutional …

Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …