DEPTH ESTIMATION METHOD FOR SMALL BASELINE-STEREO CAMERA THROUGH LIDAR SENSOR FUSION

There is provided a depth estimation method for a small baseline-stereo camera through LiDAR sensor fusion. A depth map estimation method according to an embodiment may estimate a high-resolution depth map from a small baseline-stereo image based on deep learning, by using transfer learning from a d...

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Bibliographic Details
Main Authors YOON, Ju Hong, LEE, Min Ho, KIM, Je Woo, PARK, Min Gyu
Format Patent
LanguageEnglish
Published 20.06.2024
Subjects
ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
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Summary:There is provided a depth estimation method for a small baseline-stereo camera through LiDAR sensor fusion. A depth map estimation method according to an embodiment may estimate a high-resolution depth map from a small baseline-stereo image based on deep learning, by using transfer learning from a deep learning network that is trained to estimate a depth map from a wide baseline-stereo image. Accordingly, in a device which has a small baseline-stereo camera installed therein due to structural constraints, such as a smartphone, a wearable AR/VR device, a drone, 3D image quality can be enhanced. In addition, according to embodiments, pseudo-LiDAR data may be generated by using a depth map estimated from a small baseline-stereo image, and may be used for replacing or reinforcing LiDAR data.
Bibliography:Application Number: US202318539832