Browsing Department of Computer Science and Engineering by Subject "Object recognition"
Now showing items 1-2 of 2
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BUILDING 3D SHAPE PRIMITIVE BASED OBJECT MODELS FROM RANGE IMAGES
(2016-09-16)Most pattern recognition approaches to object identification work in the image domain. However this is ignoring potential information that can be provided by depth information. Using range images, ... -
FACE DETECTION AND RECOGNITION USING MOVING WINDOW ACCUMULATOR WITH VARIOUS DEEP LEARNING ARCHITECTURE
(2018-05-04)Recent advancement in the field of Computer Vision and Deep Learning is making object detection and recognition easier. Hence, growing research activities in the field of deep learning are enabling researchers to find new ...