We introduce a large-scale RGBD hand segmentation dataset, with detailed and automatically generated highquality ground-truth annotations. Existing real-world datasets are limited in quantity due to the difficulty in manually annotating ground-truth labels. By leveraging a pair of brightly colored gloves and an RGBD camera, we propose an acquisition pipeline that eases the task of annotating ve...

Texture features are important factor in content based image retrieval. Texture descriptors are important factor in grey scale images, but due to advancements in colour image processing textures descriptors are developed a major factor for colour space images. In this paper various colour and grey scale based texture features have been discussed that can be used for extraction of texture histog...

This work proposes the use of the software development platform cal led GPI (Graphical Programming Interface) as a tool for resourcing other work for integration and comparison. The GPI software structure is designed to faci l i tate the encapsulation of outside l ibraries and provides a plugin model to isolate package dependencies. The l ibrary featured in this work is the Berkley Advanced Rec...

Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors A. Harris, J. Gamon, G. Z. Pastorello, and C. Wong Geography, School of Environment, Education and Development, University of Manchester, Manchester, M13 9PL, UK Departments of Earth & Atmospheric Sciences and Biological Sciences, University of Alberta, Edmonto...

The JACMP has lost a dear friend, Larry Berkley. Among his many other services to the medical physics community, Larry was the Chair of the JACMP Journal Business Management Committee for almost ten years, first under the ACMP, and then under the AAPM. He leaves a heritage of knowledge, integrity, and passion for open-access publishing. Larry and I go back to the 1969 summer “Rat Camp” at Georg...

Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approaches in the field have achieved a low classification accuracy. Deep neural networks have outperformed such solutions, and we present a novel approach ...

Corresponding Author: Fikri Budiman Department of Computer Science, University of Dian Nuswantoro, Semarang, Indonesia Email: [email protected] Abstract: Image retrieval using Support Vector Machine (SVM) classification very depends on kernel function and parameter. Kernel function used by dot product substitution from old dimension feature to new dimension depends on image dataset ...