Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
High-capacity image watermarking scheme aims at maximize bit rate of hiding information, neither eliciting perceptible image distortion nor facilitating special watermark attack. T...
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...
Measuring a bidirectional reflectance distribution function (BRDF) requires long time because a target object must be illuminated from all incident angles and the reflected light...
Recent work has established that digital images of a human face, collected under various illumination conditions, contain discriminatory information that can be used in classifica...
Jen-Mei Chang, Michael Kirby, Holger Kley, Chris P...
We consider the problem of L2-optimal triangulation from three separate views. Triangulation is an important part of numerous computer vision systems. Under gaussian noise, minimiz...
In this paper, we first describe our approach to measuring the surface shape of specular objects and then we extend the method to measuring the surface shape of transparent object...
This paper presents an occupancy based generative model of stereo and multi-view stereo images. In this model, the space is divided into empty and occupied regions. The depth of a ...
This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a path and a sampling line properly set in ...