Is Graphics Recognition an Unidentified Scientific Object?
نویسنده
چکیده
This paper summarizes the presentation and discussions at the panel session held at the conclusion of the GREC’07 workshop. After making a short review of where the graphics recognition stands, we raise some questions (hopefully) of interest for the future of this community.
منابع مشابه
Object Recognition based on Local Steering Kernel and SVM
The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...
متن کاملUrban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملInvestigating light disadvantages of design in the city historic texture environment(case study of sheikh lotfollah mosque in Isfahan.
In the light of environmental graphics consists of two source of natural light and artificial light .The natural light is provided by the sun . An unpredictable thing that can not be easily controlled, and we are bound to build our environment around it .Artificial light is taken from the technology response in line with the human need to turn their world after dark. Artificial light can be...
متن کاملApplication of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملParallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers
This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007