Topics
_(cropped).png%3Fwidth%3D300&w=3840&q=75)
computer visionMusic genre
mobile computingConvention
Increasing demand in mobile computing and multimedia market as well as other embedded devices has made it necessary to develop computer vision techniques which are more appropriate for these systems. This paper firstly analyses requirements for embedded vision systems and issues involved in programming optimisation to meet these requirements. Two case studies are then presented together with the analysis of results. 1
Developing a robust computer vision algorithm is very difficult because of the enormous variation of...
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the accele...
The top-down approach to system design allows obtaining separate specifications for each subsystem. ...
Increasing demand in mobile computing and multimedia market as well as other embedded devices has ma...
Image processing algorithm requires high computational power. Optimizing the algorithm to be run on ...
Computer vision has emerged as one of the most popular domains of embedded appli-cations. Though var...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
Embedded vision is the integration of "computer vision" intomachines that use algorithms to decode m...
Computer vision can be used to increase the interactivity of existing and new camera-based applicati...
The development of power-efficient solutions gives new embedded products the ability to analyse imag...
Embedded vision is a disruptive new technology in the vision industry. It is a revolutionary concept...
This paper represents a model to analyze the performance of an embedded machine vision system. Such ...
The advancement in technology continues to consume an increasing part of our lives and as we watch t...
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the accele...
Computer Vision enables mobile devices to extract the meaning of the observed scene from the informa...
Developing a robust computer vision algorithm is very difficult because of the enormous variation of...
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the accele...
The top-down approach to system design allows obtaining separate specifications for each subsystem. ...
Increasing demand in mobile computing and multimedia market as well as other embedded devices has ma...
Image processing algorithm requires high computational power. Optimizing the algorithm to be run on ...
Computer vision has emerged as one of the most popular domains of embedded appli-cations. Though var...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
Embedded vision is the integration of "computer vision" intomachines that use algorithms to decode m...
Computer vision can be used to increase the interactivity of existing and new camera-based applicati...
The development of power-efficient solutions gives new embedded products the ability to analyse imag...
Embedded vision is a disruptive new technology in the vision industry. It is a revolutionary concept...
This paper represents a model to analyze the performance of an embedded machine vision system. Such ...
The advancement in technology continues to consume an increasing part of our lives and as we watch t...
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the accele...
Computer Vision enables mobile devices to extract the meaning of the observed scene from the informa...
Developing a robust computer vision algorithm is very difficult because of the enormous variation of...
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the accele...
The top-down approach to system design allows obtaining separate specifications for each subsystem. ...
Add to ORKG