We propose a general object localization and retrieval scheme based on object shape using deformable templates. Prior knowledge of an object shape is described by a prototype template which consists of the representative contour/edges, and a set of probabilistic deformation transformations on the template. A Bayesian scheme, which is based on this prior knowledge and the edge information in the input image, is employed to find a match between the deformed template and objects in the image. Computational efficiency is achieved via a coarse-to-fine implementation of the matching algorithm. Our method has been applied to retrieve objects with a variety of shapes from images with complex background. The proposed scheme is invariant to location, rotation, and moderate scale changes of the template.
Arduino HVAC Servo Thermostat/Controller
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introArduino HVAC Servo Thermostat/Controller
Welcome to my 'green' instructable! I am going to show you how to use an
Arduino, two servo motors a temperatu...
4 comments:
can i please get the code for this process,i was trying to do some thing similar...
I have a template of human face(circle)and body(cylindrical) and was trying to deform the shape base on rotation, scale and translation to match it with the infrared images of person.
I havent recieved any reply yet, can you please send me a sample code for the deformable template matching.
email: vijays2050@gmail.com
Could you please send the code? I want to make ultrasound mesh and node, so tracking two ultrasound image difference. Please.. thank you!
email : chulheeyun1@gmail.com
Could you please send the code? I want to make ultrasound mesh and node, so tracking two ultrasound image difference. Please.. thank you!
email : chulheeyun1@gmail.com
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