公开(公告)号：US20250104344A1

公开(公告)日：2025-03-27

申请号：US18573736

申请日：2022-12-13

Applicant: Korea Electronics Technology Institute

Inventor： Min Gyu PARK ,  Ju Hong YOON ,  Ju Mi KANG ,  Je Woo KIM ,  Yong Hoon KWON

IPC: G06T17/00 ,  G06V10/44 ,  G06V10/56

Abstract: There are provided an apparatus and a method for reconstructing a 3D human object in real time based on a monocular color image. A 3D human object reconstruction apparatus according to an embodiment extracts a pixel-aligned feature from a monocular image, extracts a ray-invariant feature from the pixel-aligned feature, generates encoded position information by encoding position information of a point, predicts a SD of a point from the ray-invariant feature and the encoded position information which are extracted, and reconstructs a 3D human object by using the predicted SD. Accordingly, the ray-invariant feature extracted from the pixel-aligned feature, and the encoded position information are used, so that an amount of computation for predicting SDs of points of a 3D space can be noticeably reduced and a speed can be remarkably enhanced.

公开(公告)号：US20240203161A1

公开(公告)日：2024-06-20

申请号：US18535420

申请日：2023-12-11

Applicant: Korea Electronics Technology Institute

Inventor： Ju Hong YOON ,  Min Gyu PARK ,  Yong Hoon KWON ,  Je Woo KIM

IPC: G06V40/16 ,  G06V10/774 ,  G06V10/776 ,  G06V10/778 ,  G06V40/40

CPC classification number: G06V40/174 ,  G06V10/774 ,  G06V10/776 ,  G06V10/7788 ,  G06V40/169 ,  G06V40/40 ,  G06V10/82

Abstract: There is provided an emotion prediction method based on virtual facial expression image augmentation. The emotion prediction method may acquire a user facial image, may extract a facial expression feature from the acquired user facial image, and may predict a user emotion from the extracted facial expression feature. The emotion prediction method may extract the facial expression feature by using a facial expression recognition network, the facial expression recognition network being an AI model that is trained to receive a user facial image and to extract a facial expression feature. The facial expression recognition network is retrained with virtual facial images which are augmented from a facial image that causes a failure in emotion recognition. Accordingly, by augmenting features of a facial expression image that causes a failure in prediction through error feedback, facial expression recognition performance can be enhanced.