In the recent past, it has become a widely accepted and applied method to recognize and localize objects based on local point features. However, the existing approaches are based on matching color images. With the widely use of Kinect, the registration between depth image and color image becomes necessary and important. To effectively match 3D depth images and 2D color images and estimate the t...

The need for efficient content-based image retrieval has increased hugely. Two methods are recognized for describing the content of images: using global features and using local features. In this paper, we propose two methods for image retrieving based on visual similarity. The first one characterizes images by global features, when the second is based on local features. In the global descripto...

A feature detector and a feature descriptor are presented, which are applicable to 3D range data. The feature detector is used to identify locations in the range data at which the feature descriptor is applied. The feature descriptor, or feature transform, calculates a signature for each identified location on the basis of local shape information. The approach used in both the feature detector ...

In this paper we propose to tackle human actions indexing by introducing a new local motion descriptor. Our proposed descriptor is based on two modeling, a spatial model and a temporal model. The spatial model is computed by projection of optical flow onto bivariate orthogonal polynomials. Then, the time evolution of spatial coefficients is modeled with a one dimension polynomial basis. To perf...

In this paper we present an algorithm for face detection that is based on generic local descriptors (e.g. eyes). A generic descriptor captures the distribution of individual descriptors over a set of samples (training images). This distribution is assumed to be a Gaussian mixture model and is learnt using the minimum description length principle (MDL). A descriptor of an unknown image may then ...

We present a line-scan stereo system and descriptor-based dense stereo matching for highperformance vision applications. The stochastic binary local descriptor (STABLE) descriptor is a local binary descriptor that builds upon the principles of compressed sensing theory. The most important properties of STABLE are the independence of the descriptor length from the matching window size and the po...

• Comprehensive evaluation of current image descriptors for scenarios with strong illumination changes that induce complex appearance variations • Proposed Gabor-based descriptor outperforms other descriptors, especially on textureless surfaces [Ala12] Alahi, A., Ortiz, R., Vandergheynst, P.: Freak: Fast retina keypoint. In: CVPR. (2012) 510-517 [Bay08] Bay, H., Ess, A., Tuytelaars, T., Van Goo...