CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Being the most broadly used tool for deceit measurement, the polygraph is a limited method as it suffers from human operator subjectivity and the fact that target subjects are awa...
CVPR
2007
IEEE
2007
IEEE
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
15 years 1 months ago
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
It is well-known that forward motion induces a large number of local minima in the instantaneous least-squares reprojection error. This is caused in part by singularities in the e...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper, we measure the responses of image patches, used as filters, on different image ensembles and examine how the responses are affected by reducing the resolution of th...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the C...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...