We propose a novel visual navigation clue based on summarising the local 3D information into a single structure, called pqhistogram. This structure is obtained by discretising the local orientation or [p, q] of an image, and building a two dimensional histogram. This histogram gives a global view of the 3D shape of the world, therefore it could be used for navigation. The potential application ...

The process of dental defect analysis is to provide an efficient clinical support with less complexity in segmentation, better accuracy in foreground object detection and to provide local contrast and luminance invariant features using the various descriptors. The automatic decision support system includes adaptive threshold and support vector machine for dental disease prediction. The proposed...

Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

Given the range and variety of modern applications of pattern-recognition, it is becoming increasingly important to design procedures which can self-tune to the statistical difficulty of the learning problem at hand, within the computational constraints of modern data sizes. These so-called adaptive procedures must automatically adjust their behavior to achieve performance on par with the best ...

Pattern clustering is an important data analysis process useful in a wide spectrum of computer vision applications. In addition to choosing the appropriate clustering methods, particular attention should be paid to the choice of the features describing patterns in order to improve the clustering performance. This paper presents a novel feature descriptor, referred as Histogram of Structure Tens...

In this paper, we propose a novel shape representation we call Directional Histogram Model (DHM). It captures the shape variation of an object and is invariant to scaling and rigid transforms. The DHM is computed by first extracting a directional distribution of thickness histogram signatures, which are translation invariant. We show how the extraction of the thickness histogram distribution ca...

A novel image forensic algorithm against contrast modification based on merged weight histogram of run length is proposed. In the proposed algorithm, the run length histogram features were firstly extracted, and then those of different orientation were subsequently merged; after normalization of the prior features, the authors calculated leaps in the histogram numerically; lastly, the generated...

We consider model-based object detection for traffic surveillance, aiming at object classification. Within detected regions-of-interest (ROIs) of moving objects in the scene, the orientation of the object is detected using a histogram of gradient directions. For the calculated orientation, a 3D wire-frame model is projected onto the image data and the best matching pixel-position is calculated ...