It is very important to guarantee the quality of the industrial products by means of visual inspection. In order to reduce
the soldering defect with terminal deformation and terminal burr in the manufacturing process, this paper
proposes a 3D visual inspection system based on a stereo vision with single camera.
It is technically noted that the base line of this single camera stereo was precisely calibrated by the image processing
procedure. Also to extract the measuring point coordinates for computing disparity; the error is reduced with original
algorithm. Comparing its performance with that of human inspection using industrial microscope, the proposed 3D
inspection could be an alternative in precision and in processing cost. Since the practical specification in 3D precision
is less than 0.02 mm and the experimental performance was around the same, it was demonstrated by the proposed system
that the soldering defect with terminal deformation and terminal burr in inspection, especially in 3D inspection,
was decreased.
In order to realize the inline inspection, this paper will suggest how the human inspection of the products could be
modeled and be implemented by the computer system especially in manufacturing process.
We developed the facial caricaturing robot "COOPER", that was exhibited at the Prototype Robot Exhibition of EXPO 2005, Aichi Japan during 11 days from Jun.9 to Jun.19. COOPER watches the face of a person seated at the chair, obtains facial images, and analyzes the images to extract 251 feature points to generate his facial line drawings with deformation. It is noted that the caricature was drawn on the specialized "Shrimp rice cracker" in 4 minutes. To do this we customized the original system PICASSO by coping with the illumination circumstances in EXPO pavilion. This paper illustrates the outline of the COOPER and the details of the image processing in it. And we discusses on the prospects of the future subjects based on more than 395 facial caricatures obtained at EXPO2005.
Since, at our laboratory, the basic configuration of the facial caricaturing system PICASSO has been constructed, it is strongly expected to get sufficient input image from a person who is naturally performing in front of the PICASSO camera system. From this viewpoint, we developed a face tracking PC system for capturing sufficient facial image especially in size by means of PTZ (Pan-Tilt-Zoom) camera collaborated with a fixed CCD camera. Irises are successfully recognized from the motion images captured from PTZ camera. These irises can be utilized to provide a key feature for realizing an automated facial recognizing system. In this system, a person performing naturally in pose and in facial expression within the scope of the fixed CCD camera can be stably tracked and the sufficient images in resolution of PTZ camera were successfully analyzed for iris recognition and facial parts extractions. This face tracking and face recognition system was characterized by a novel template replacement scheme among the successive image frames. Experimental results were also demonstrated in this paper. This system works well in a practical speed 6-9fps on a usual PC connected to these cameras.
Since, at our laboratory, the basic configuration of the facial caricaturing system PICASSO has been constructed, it is strongly expected to get sufficient input image from a person who is naturally performing in front of the PICASSO camera system. From this viewpoint, we developed a face tracking PC system for capturing sufficient facial image especially in size by means of PTZ (Pan-Tilt-Zoom) camera collaborated with a fixed CCD camera. Irises are successfully recognized from the motion images captured from PTZ camera. These irises can be utilized to provide a key feature for realizing an automated facial recognizing system. In this system, a person performing naturally in pose and in facial expression within the scope of the fixed CCD camera can be stably tracked and the sufficient images in resolution of PTZ camera were successfully analyzed for iris recognition and facial parts extractions. This face tracking and face recognition system was characterized by a novel template replacement scheme among the successive image frames. Experimental results were also demonstrated in this paper. This system works well in a practical speed 6-9fps on a usual PC connected to these cameras.
Since at our laboratory, the basic configuration of the facial caricaturing system PICASSO has been constructed, it is strongly expected to get sufficient input image from a person who is naturally performing in front of the PICASSO camera system. From this viewpoint, we developed a face tracking PC system for capturing sufficient facial image especially in size by means of PTZ (Pan-Tilt-Zoom) camera collaborated with a fixed CCD camera. Irises are successfully recognized from the motion images captured from PTZ camera. These irises can be utilized to provide a key feature for realizing an automated facial recognizing system. In this system, a person performing naturally in poise and in facial expression within the scope of the fixed CCD camera can be stably tracked and the sufficient images in resolution of PTZ camera were successfully analyzed for iris recognition and facial parts extractions. This face tracking and face recognition system was characterized by a novel template replacement scheme among the successive image frames. Experimental results were also demonstated in this paper. This system works well in a practical speed 6-9fps on a usual PC connected to these cameras.
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