Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: The present invention relates to a lateral image processing method, and the method includes recognizing areas in which amounts of image change are different from each other in an image captured by a camera; determining whether a car is in a driving state; and converting an image in one area in which an amount of image change is different according to the driving state of the car.

Abstract: The present invention relates to a lateral image processing method, and the method includes recognizing areas in which amounts of image change are different from each other in an image captured by a camera; determining whether a car is in a driving state; and converting an image in one area in which an amount of image change is different according to the driving state of the car.

Abstract: The present invention relates to a lateral image processing method, and the method includes recognizing areas in which amounts of image change are different from each other in an image captured by a camera; determining whether a car is in a driving state; and converting an image in one area in which an amount of image change is different according to the driving state of the car.

Abstract: The present invention relates to a lateral image processing method, and the method includes recognizing areas in which amounts of image change are different from each other in an image captured by a camera; determining whether a car is in a driving state; and converting an image in one area in which an amount of image change is different according to the driving state of the car.

Abstract: A multi-display device includes: a transparent first touch panel; a second touch panel of which at least a part overlaps the first touch panel; and an operation controller which operates the first and second touch panels. The operation controller senses a touch input of the first and second touch panels to determine and execute a function according to a state of the sensed touch input and an overlapped state of the first and second touch panels. The operation controller may selectively activate first and second functions of first and second touch panels, respectively, according to a touch recognition result and select and execute a third function linked with the first and second functions.

Abstract: An apparatus and method for demosaicing colors in an image sensor can accurately locate edge directionality by detecting a successive 1-line edge precisely. The embodiments may include an image sensor containing information on a color signal detected from each pixel, a first line memory receiving and storing output data from the image sensor, a missing green information extractor extracting missing green pixel information from the data of the first line memory, a delayer receiving the data of the first line memory, the delayer delaying the received data for a prescribed duration, the delayer outputting the delayed data, a second line memory temporarily storing the data outputted from the missing green information extractor and the data provided via the delayer, and a missing red/blue information outputter extracting missing red/blue information from the data of the second line memory.

Abstract: A multi-display device includes: a transparent first touch panel; a second touch panel of which at least a part overlaps the first touch panel; and an operation controller which operates the first and second touch panels. The operation controller senses a touch input of the first and second touch panels to determine and execute a function according to a state of the sensed touch input and an overlapped state of the first and second touch panels. The operation controller may selectively activate first and second functions of first and second touch panels, respectively, according to a touch recognition result and select and execute a third function linked with the first and second functions.

Abstract: An apparatus and method for demosaicing colors in an image sensor can accurately locate edge directionality by detecting a successive 1-line edge precisely. The embodiments may include an image sensor containing information on a color signal detected from each pixel, a first line memory receiving and storing output data from the image sensor, a missing green information extractor extracting missing green pixel information from the data of the first line memory, a delayer receiving the data of the first line memory, the delayer delaying the received data for a prescribed duration, the delayer outputting the delayed data, a second line memory temporarily storing the data outputted from the missing green information extractor and the data provided via the delayer, and a missing red/blue information outputter extracting missing red/blue information from the data of the second line memory.