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公开(公告)号：US20170193665A1
公开(公告)日：2017-07-06
申请号：US15007942
申请日：2016-01-27
Inventor： Su Woong LEE , Jun Suk LEE , Hyung Keun JEE
CPC classification number: G06T7/11 , G06K9/00208 , G06K9/00335 , G06T7/194 , G06T7/73 , G06T2207/10028 , G06T2207/30196
Abstract: Provided is a system for detecting an object from a depth image. The system includes a communication module, a memory, and a processor. By executing the object detection program, the processor extracts a first object area and a second object area from the depth image, based on a predetermined floor plane and an outer plane which is set with respect to the predetermined floor plane. The processor extracts a target area including pixels of the second object area which are spaced apart from the first object area by a predetermined interval. The processor samples a pixel, which is not included in the target area, to extract a floor area from the second object area, calculates a boundary value of an object and a floor, based on the floor area and the target area, and extracts a foreground pixel from the target area, based on the calculated boundary value.
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公开(公告)号：US20180130185A1
公开(公告)日：2018-05-10
申请号：US15805370
申请日：2017-11-07
Inventor： Han Shin LIM , Ik Soon KIM , Hae Dong KIM , Seong Won RYU , Chan Ho PARK , Jun Suk LEE , Kyung Ho JANG , Jae Pil HEO
CPC classification number: G06T5/002 , G06T5/50 , G06T17/20 , G06T2200/04 , G06T2207/10024 , G06T2207/10028
Abstract: Provided is a method of removing noise from a sparse depth map. The method includes setting, as nodes, sample points in a sparse depth map including depth information at a certain position of an image plane, constructing a mesh by connecting the set nodes, and removing noise from the meshed node, based on connection information between the meshed node and neighboring nodes adjacent thereto and color information about a color image corresponding to the sparse depth map. A depth value is allocated to each of the sample points.
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