Classifying color textures under varying illumination sources remains challenging. To address this issue, this paper introduces a new descriptor for color texture classification, which is robust to changes in the scene illumination. The proposed descriptor, named Color Intensity Local Mapped Pattern (CILMP), incorporates relevant information about the color and texture patterns from the image i...

This paper aims at improving the well-known local variance segmentation method by adding extra signal modi and specific processing steps. As a key contribution, we extend the uni-modal segmentation method to perform multi-modal analysis, such that any number of signal modi available can be incorporated in a very flexible way. We have found that the use of a combined weight of luminance and dept...

We propose an algorithm for ontent-based image retrieval of grays ale images of obje ts against a ba kground of texture. It employs feature ve tors based on moment invariants of detail oeÆ ients produ ed by the lifting s heme. The predi tion lters in this s heme are hosen adaptively: low order (small stenils) near edges and high order elsewhere. The aim is an algorithm that retrieves similar im...

The necessity for the classification of open and closed eyes is increasing in various fields, including analysis of eye fatigue in 3D TVs, analysis of the psychological states of test subjects, and eye status tracking-based driver drowsiness detection. Previous studies have used various methods to distinguish between open and closed eyes, such as classifiers based on the features obtained from ...

Quantitative characterization of skin appearance is an important but difficult task. The skin surface is a detailed landscape, with features that depend on many variables such as body location (knuckle vs. torso), subject parameters (age/gender/health) and imaging parameters (lighting and camera). Computational modeling of skin texture has potential uses in many fields and applications includin...

This paper presents an approach to estimate the intrinsic texture properties (albedo, shading, normal) of scenes from multiple view acquisition under unknown illumination conditions. We introduce the concept of intrinsic textures, which are pixel-resolution surface textures representing the intrinsic appearance parameters of a scene. Unlike previous video relighting methods, the approach does n...

We propose a technique for recovering the position and depth of pronuclei of human zygotes, from z-stacks acquired using Hoffman Modulation Contrast microscopy. We use Local Binary Pattern features for describing local texture, and integrate information from multiple neighboring areas of the stack, including those where the object to be detected would appear defocused; interestingly, such defoc...

We present an automatic method to recover high-resolution texture over an object by mapping detailed photographs onto its surface. Such high-resolution detail often reveals inaccuracies in geometry and registration, as well as lighting variations and surface reflections. Simple image projection results in visible seams on the surface. We minimize such seams using a global optimization that assi...

We propose a novel image/video retexturing approach that preserves the original shading effects without knowing the underlying surface and lighting conditions. For static images, we first introduce the Poisson equation-based algorithm to simulate the texture distortion on the projected interest region of the underlying surface, while preserving the shading effect of the original image. We furth...