Indoor environment recognition based on depth image

Persian sign language detection based on normalized depth image information

There are many reports of using the Kinect to detect hand and finger gestures after release of device by Microsoft. The depth information is mostly used to separate the hand image in the two-dimension of RGB domain. This paper proposes a method in which the depth information plays a more dominant role. Using a threshold in depth space first the hand template is extracted. Then in 3D domain the ...

Object Recognition Based on Depth Aspect Image Matching

A method for three dimensional object recognition based on depth image information is proposed. A depth aspect image is defined as an orientation standardized appearance from the original depth data of the object, which is transformed by the rigid transformation drawn by each possible basis pair of every three feature points of the object depth data. They are made from the original depth images...

An Original Application of Image Recognition Based Location in Complex Indoor Environment

This paper describes the first results of an Image Recognition Based Location (IRBL) for mobile application focusing on the procedure to generate a Database of range images (RGB-D). In an indoor environment, to estimate the camera position and orientation, a prior spatial knowledge of the surrounding is needed. In order to achieve this objective a complete 3D survey of two different environment...

Multi Object Recognition in an Indoor Environment

Face Detection and Recognition in Indoor Environment

This thesis examines and implements some state-of-the-art methods for human face recognition. In order to examine all aspects of the face recognition task at a generic level, we have divided the task into three consecutive steps: 1) Skin color detection (for identifying regions with skin-colored), 2) Face detection (no identification) and 3) Face recognition (for identifying which face is detec...