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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Object Detection Using Kinect
 Řehánek, Martin ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
With the release of the Kinect device new possibilities appeared, allowing a simple use of image depth in image processing. The aim of this thesis is to propose a method for object detection and recognition in a depth map. Well known method Bag of Words and a descriptor based on Spin Image method are used for the object recognition. The Spin Image method is one of several existing approaches to depth map which are described in this thesis. Detection of object in picture is ensured by the sliding window technique. That is improved and speeded up by utilization of the depth information.
Detailed record
Identifikace objektů v obraze se zaměřením na aplikace v dopravě
 HEJPLÍK, Daniel
This bachelor´s thesis has two parts, theoretical and practical. Theoretical part focuses on research and comparsion of algorithms and principles used for object recognition in digital images. The result is evaluation of their suitability for usage in traffic. Main evaluation criterion is speed of individual methods and reliability of object identification. Practical part focuses on creating specific software tool in Java language, based on object recognition using known algorithms, primarily library OpenCV. The program will include its own graphical interface. Part of result will be documentation for administrators and end users.
Detailed record
Object Detection Using Kinect
 Řehánek, Martin ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
With the release of the Kinect device new possibilities appeared, allowing a simple use of image depth in image processing. The aim of this thesis is to propose a method for object detection and recognition in a depth map. Well known method Bag of Words and a descriptor based on Spin Image method are used for the object recognition. The Spin Image method is one of several existing approaches to depth map which are described in this thesis. Detection of object in picture is ensured by the sliding window technique. That is improved and speeded up by utilization of the depth information.
Detailed record

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