The filter flow problem is to compute a space-variant
linear filter that transforms one image into another. This
framework encompasses a broad range of transformations
including...
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
This paper presents a method for estimating geographic
location for sequences of time-stamped photographs. A
prior distribution over travel describes the likelihood of
traveling...
Evangelos Kalogerakis, Olga Vesselova, James Hays,...
This paper proposes a fully automated 3D reconstruction
and visualization system for architectural scenes (interiors
and exteriors). The reconstruction of indoor environments
fr...
Yasutaka Furukawa, Brian Curless, Steven M. Seitz,...
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...
Due to the sequential-readout structure of complementary-metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting...
One common way to extend the battery life of a portable device is to reduce the LCD backlight intensity. In contrast to previous approaches that minimize the power consumption by a...
In this paper, we present a system including a novel component called programmable aperture and two associated post-processing algorithms for high-quality light field acquisition. ...
Chia-Kai Liang and Tai-Hsu Lin and Bing-Yi Wong a...
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...