Fast Asymmetric Learning for Cascade Face Detection
A cascade face detector uses a sequence of node classifiers to distinguish faces from non-faces. This paper presents a new approach to design node classifiers in the cascade detector. Previous methods used machine learning algorithms that simultaneously ...
Eigenfeature Regularization and Extraction in Face Recognition
This work proposes a subspace approach that regularizes and extracts eigenfeatures from the face image. Eigenspace of the within-class scatter matrix is decomposed into three subspaces: a reliable subspace spanned mainly by the facial variation, an ...
Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information
Many natural and man-made structures have a boundary that shows a certain level of bilateral symmetry, a property that plays an important role in both human and computer vision. In this paper, we present a new grouping method for detecting closed ...
Finsler Active Contours
In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the Euclidean metric is locally multiplied by a scalar conformal ...
Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle
This paper presents a method for designing semi-supervised classifiers trained on labeled and unlabeled samples. We focus on probabilistic semi-supervised classifier design for multi-class and singlelabeled classification problems, and propose a hybrid ...
Alignment of Overlapping Locally Scaled Patches for Multidimensional Scaling and Dimensionality Reduction
Data observations that lie on a manifold can be approximated by a collection of overlapping local patches, the alignment of which in a low dimensional Euclidean space provides an embedding of the data. This paper describes an embedding method using ...
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance functions. A new set of distance measures are derived from the harmonic distance, ...
Shape-and-Behavior Encoded Tracking of Bee Dances
Behavior analysis of social insects has garnered impetus in recent years and has led to some advances in fields like control systems, flight navigation etc. Manual labeling of insect motions required for analyzing the behaviors of insects requires ...
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used to characterize object classes in which some shape parts can be repeated an ...
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions
Automatic initialization and tracking of human pose is an important task in visual surveillance. We present a part-based approach that incorporates a variety of constraints in a unified framework. These constraints include the kinematic constraints ...
What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines
The human vision system can interpret a single 2D line drawing as a 3D object without much difficulty even if the hidden lines of the object are invisible. Many reconstruction methods have been proposed to emulate this ability, but they cannot recover ...
Shape from Defocus via Diffusion
Defocus can be modeled as a diffusion process and represented mathematically using the heat equation, where image blur corresponds to the diffusion of heat. This analogy can be extended to non-planar scenes by allowing a space-varying diffusion ...
Blind Camera Fingerprinting and Image Clustering
Previous studies have shown how to "fingerprint" a digital camera given a set of images known to come from the camera. A clustering technique is proposed to construct such fingerprints from a mixed set of images, enabling identification of each image's ...
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution of the model is an unsupervised generalisation of linear discriminant ...
Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces
We present a systematic study on gender classification with automatically detected and aligned faces. We experimented with 120 combinations of automatic face detection, face alignment and gender classification. One of the findings was that the automatic ...
Multiview Photometric Stereo
This paper addresses the problem of obtaining complete, detailed reconstructions of textureless shiny objects. We present an algorithm which uses silhouettes of the object, as well as images obtained under changing illumination conditions. In contrast ...
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local monitor produces an alert if its current measurement is unusual, and these ...
