Invisible Geolocation Signature Extraction From a Single Image

Intrinsic Image Extraction from a Single Image

Intrinsic image extraction has long been an important task for computer vision applications. However, this task is nontrivial at all because it is an ill-conditioned problem. The technique proposed in this paper uses one single image to achieve the purpose. The proposed approach first convolves the input image with a prescribed set of derivative filters. The pixels of the derivative images are ...

Correlation-Based Intrinsic Image Extraction from a Single Image

Intrinsic images represent the underlying properties of a scene such as illumination (shading) and surface reflectance. Extracting intrinsic images is a challenging, ill-posed problem. Human performance on tasks such as shadow detection and shape-from-shading is improved by adding colour and texture to surfaces. In particular, when a surface is painted with a textured pattern, correlations betw...

Correlation-based Intrinsic Image Extraction from a Single Image: Supplement

In order to quantify the performance of our intrinsic image extraction method, we need an error metric for estimating the difference between output and ground truth images. This error metric should represent the degree of visual similarity between the estimated and the ground truth image. The appearance of an image is mainly determined by the contrast between pixels, not intensity values. There...

Extraction of 3D Object Representations from a Single Range Image

Color image retrieval using a fractal signature extraction technique

Content-based image retrieval systems have become a reliable tool for many image database applications. There are several advantages of the image retrieval techniques compared to other simple retrieval approaches such as text-based retrieval techniques. This paper proposes a new image retrieval technique that can be used for retrieving color images. The proposed technique is based on a fractal ...