Computer-aided classification of gastrointestinal lesions in regular colonoscopy
We have developed a technique to study how good computers can be at diagnosing
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
Specular removal of industrial metal objects without changing lighting configuration
In an industrial environment, measuring and reconstructing metal objects using computer
vision methods can be affected by surface highlight reflections, leading to inaccurate results …
vision methods can be affected by surface highlight reflections, leading to inaccurate results …
Illuminating the past: state of the art
Virtual reconstruction and representation of historical environments and objects have been
of research interest for nearly two decades. Physically based and historically accurate …
of research interest for nearly two decades. Physically based and historically accurate …
[PDF][PDF] Распознавание образов
ТС Чернов - 2014 - isa.ru
Распознавание образов Page 1 66 Труды ИСА РАН. Том 67. 1/2017 Введение* Задачи
автоматического ввода и распознавания изображений документов остаются актуальными …
автоматического ввода и распознавания изображений документов остаются актуальными …
Real-time highlight removal using intensity ratio
HL Shen, ZH Zheng - Applied optics, 2013 - opg.optica.org
In this paper, we propose an efficient method to separate the diffuse and specular reflection
components from a single image. The method is built on the observation that, for diffuse …
components from a single image. The method is built on the observation that, for diffuse …
Joint specular highlight detection and removal in single images via Unet-Transformer
Specular highlight detection and removal is a fundamental problem in computer vision and
image processing. In this paper, we present an efficient end-to-end deep learning model for …
image processing. In this paper, we present an efficient end-to-end deep learning model for …
Sparse coding with anomaly detection
We consider the problem of simultaneous sparse coding and anomaly detection in a
collection of data vectors. The majority of the data vectors are assumed to conform with a …
collection of data vectors. The majority of the data vectors are assumed to conform with a …
Depth estimation and specular removal for glossy surfaces using point and line consistency with light-field cameras
Light-field cameras have now become available in both consumer and industrial
applications, and recent papers have demonstrated practical algorithms for depth recovery …
applications, and recent papers have demonstrated practical algorithms for depth recovery …
Polarization guided specular reflection separation
Since specular reflection often exists in the real captured images and causes deviation
between the recorded color and intrinsic color, specular reflection separation can bring …
between the recorded color and intrinsic color, specular reflection separation can bring …
Single-image specular highlight removal via real-world dataset construction
Specular reflections pose great challenges on various multimedia and computer vision
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …