Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers

Convolution Comparison Pattern: An Efficient Local Image Descriptor for Fingerprint Liveness Detection

We present a new type of local image descriptor which yields binary patterns from small image patches. For the application to fingerprint liveness detection, we achieve rotation invariant image patches by taking the fingerprint segmentation and orientation field into account. We compute the discrete cosine transform (DCT) for these rotation invariant patches and attain binary patterns by compar...

Harmonic Shape Histograms for 3D Shape Classification and Retrieval

In this paper, we present a novel approach towards 3D shape recognition and retrieval using histograms of rotation invariant local features. Features are extracted for every point of voxelized 3D shape objects by use of functions on spheres which are invariant towards rotation of the object. The fast computation of the local features is performed via convolution methods in frequency space. Hist...

Compact Hierarchical Image Descriptors

An efficient approach for image annotation and retrieval is presented. The main objective is to overcome the speed limitations of existing video indexing and retrieval systems. A family of successively simplified image descriptors is defined using colour histograms. The colour distribution is quantised according to a scale-parameter obtained by convolving the distribution function with Gaussian...

Convolution and Homogeneous Spaces

Robust and Geometric Invariant Watermarking Scheme using Block and Gray-Level Histograms

As one of the crucial problems in watermarking, robustness against geometric distortion and JPEG compression becomes more than challenging and problematic. In this paper, a robust and geometric invariant watermarking scheme using block histogram and intensity-level histograms is proposed. During watermark embedding procedure, we first compute the number of valid intensity-levels of the given im...