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1. 发明申请

WO2023277473A1 반려 동물의 식별을 위한 객체를 촬영하기 위한 방법 및 전자 장치 审中-公开
公开(公告)号：WO2023277473A1
公开(公告)日：2023-01-05
申请号：PCT/KR2022/009095
申请日：2022-06-27
申请人： 주식회사 펫나우
发明人： 박대현 , 임준호
IPC分类号： G06V40/10 , G06V10/764 , G06V10/40 , G06V10/10 , G06V10/20 , G06V10/82 , G06V10/84 , G06N3/08 , G06N3/04
摘要： 본 발명은 연산 복잡도를 감소시키면서 반려 동물의 식별을 위한 객체를 효과적으로 검출할 수 있는 영상 처리 방법 및 전자 장치를 제공한다. 본 발명에 따른 반려 동물의 식별을 위한 객체를 검출하기 위한 방법은, 상기 반려 동물이 포함된 원본 영상을 획득하는 단계와, 상기 원본 영상에 대한 영상 처리를 통해 제1 특징 영역과 상기 반려 동물의 종(種)을 결정하는 단계와, 상기 결정된 반려 동물의 종에 기초하여 상기 제1 특징 영역 내에서 상기 반려 동물의 식별을 위한 객체를 검출하는 단계를 포함한다.

2. 发明申请

WO2022178287A1 UNCERTAINTY-AWARE DEEP REINFORCEMENT LEARNING FOR ANATOMICAL LANDMARK DETECTION IN MEDICAL IMAGES 审中-公开
公开(公告)号：WO2022178287A1
公开(公告)日：2022-08-25
申请号：PCT/US2022/017037
申请日：2022-02-18
申请人： COVERA HEALTH
发明人： BROWNING, James , ZHANG, Li , ODRY, Benjamin , KORNREICH, Micha , PAWAR, Jayashri , CHOW, Aubrey , HERZOG, Richard
IPC分类号： G06V10/25 , G06V10/84 , G06V10/44 , G06V10/82
摘要： Described are techniques for uncertainty-aware anatomical landmark detection, using, for example, a deep reinforcement learning (DRL) anatomical landmark detection agent. For instance, a process can include generating one or more image features for an input medical image using a first sub-network of the anatomical landmark detection agent. A softmax layer of a second sub-network of the anatomical landmark detection agent can generate a plurality of discrete Q-value distributions for a set of allowable actions associated with movement of the agent within the medical image. An anatomical landmark location within the medical image can be predicted using the discrete Q-value distributions. An uncertainty can be determined for the predicted anatomical landmark location, based on an average full width half maximum (FWHM) calculated for the plurality of discrete Q-value distributions.

3. 发明申请

WO2023080590A1 METHOD FOR PROVIDING COMPUTER VISION 审中-公开
公开(公告)号：WO2023080590A1
公开(公告)日：2023-05-11
申请号：PCT/KR2022/016890
申请日：2022-11-01
申请人： SAMSUNG ELECTRONICS CO., LTD.
发明人： RUKHOVICH, Danila Dmitrievich , VORONTSOVA, Anna Borisovna , KONUSHIN, Anton Sergeevich
IPC分类号： G06V20/64 , G06V10/46 , G06V10/82 , G06V10/84 , G06V10/764 , A47L9/28
摘要： An disclosure relates a method for computer vision of a robotic device, the method comprising obtaining a scene with at least one object, representing the obtained scene as a set of N points, inputting the set of N points as input data to a neural network, wherein the neural network performs the following steps: representing the set of N points as volumetric pixel representation, processing the volumetric pixel representation to obtain four-dimensional tensors, processing the four-dimensional tensors to extract features, expressed in numerical form, of the at least one of object in the scene and processing the extracted features to obtain predictions of a location, an orientation and a category of the at least one object in the scene, and outputting, from the neural network, the predictions as numerical representation.

4. 发明申请

WO2023021144A1 POSITION-AWARE TEMPORAL GRAPH NETWORKS FOR SURGICAL PHASE RECOGNITION ON LAPAROSCOPIC VIDEOS 审中-公开
公开(公告)号：WO2023021144A1
公开(公告)日：2023-02-23
申请号：PCT/EP2022/073102
申请日：2022-08-18
申请人： DIGITAL SURGERY LIMITED
发明人： KADKHODAMOHAMMADI, Abdolrahim , MUNTION, Imanol Luengo , STOYANOV, Danail V.
IPC分类号： G06V10/44 , G06V10/62 , G06V10/82 , G06V20/40 , G06V10/84
摘要： Data captured during a surgical procedure can include video streams, such as from a laparoscopic camera. Technical solutions are described to facilitate online surgical phase recognition from the captured video stream(s). Surgical phase recognition is key in developing context-aware supporting systems for surgeons and medical teams in general. The technical solutions describe taking temporal context in videos into account by precise modeling of temporal neighborhoods in a video.

5. 发明申请

WO2023072775A1 PERSONENVERIFIKATION IN PORTRÄTGEMÄLDEN 审中-公开
公开(公告)号：WO2023072775A1
公开(公告)日：2023-05-04
申请号：PCT/EP2022/079450
申请日：2022-10-21
申请人： FRAUNHOFER GESELLSCHAFT ZUR FÖRDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
发明人： TERHÖRST, Philipp , HUBER, Marco , DAMER, Naser
IPC分类号： G06V10/74 , G06V10/774 , G06V10/82 , G06V10/84 , G06V40/16
摘要： Die Erfindung betrifft ein Verfahren und ein System (SY) zur Personenverifikation in Porträtgemälden, wobei das Verfahren umfasst: - Bereitstellen (S1) einer Referenzbildmenge (RM) mit Abbildern von mindestens zwei, insbesondere voneinander verschiedenen, Porträtgemälden, wobei die Porträtgemälde dieselbe Referenzperson (R1) abbilden, - Bereitstellen (S1) einer Konträrbildmenge (KM) mit Abbildern von mindestens zwei weiteren Porträtgemälden, wobei die weiteren Porträtgemälde jeweils eine Konträrperson (K1, K2, K3) abbilden, - Bereitstellen (S1) mindestens eines zu prüfenden Abbilds (PB) eines Porträtgemäldes, wobei das Porträtgemälde eine zu verifizierende Person (P1) abbildet, - Bestimmen (S2) von abbildspezifischen Merkmalen (MR, MK, MP) mittels eines Verfahrens des maschinellen Lernens (ML), wobei jedem Abbild mindestens ein Merkmal zugeordnet wird, - Bestimmen (S3) einer ersten Verteilung von Ähnlichkeiten mittels der Merkmale (MR, MK) solcher Abbilder aus der Referenz- und/oder Konträrbildmenge (RM, KM), die dieselbe Person abbilden, - Bestimmen (S3) einer weiteren Verteilung von Ähnlichkeiten mittels der Merkmale (MR, MK) solcher Abbilder der Referenzbild- und/oder Konträrbildmenge (RM, KM), die unterschiedliche Personen abbilden, - Bestimmen (S4) mindestens einer zur Auswertung eines Kriteriums notwendigen Größe (GK) zur Unterscheidung der Referenzperson (R1) von der oder den Konträrperson(en) (K1, K2, K3) in Abhängigkeit von der ersten und/oder weiteren Verteilung von Ähnlichkeiten, - Bestimmen (S5) eines Ähnlichkeitsmaßes (AM) mittels der Merkmale (MP, MR) des zu prüfenden Abbilds (PB) und jedes Abbilds der Referenzbildmenge (RM), - Verifizieren (S6), ob die zu verifizierende Person (P1) mit der Referenzperson (R1) identisch ist, wenn das Ähnlichkeitsmaß (AM) das Kriterium erfüllt, sowie ein Computerprogrammprodukt.

6. 发明申请

WO2022254210A1 TOOL FOR COUNTING AND SIZING PLANTS IN A FIELD 审中-公开
公开(公告)号：WO2022254210A1
公开(公告)日：2022-12-08
申请号：PCT/GB2022/051393
申请日：2022-06-01
申请人： HUMMINGBIRD TECHNOLOGIES LIMITED
发明人： SIDIROPOULOS, Panagiotis
IPC分类号： G06V20/10 , G06V10/84 , G06V10/26 , G06V20/68
摘要： Aspects include methods and apparatuses generally relating to agricultural technology and artificial intelligence and, more particularly, to counting and sizing plants in a field. One aspect relates to a method for analysing plants in an area of interest that generally includes providing at least one aerial image of the area of interest; performing object detection, segmentation and instantiation using an object-mask-predicting region convolutional neural network, Mask R-CNN, wherein the Mask R-CNN is trained to detect a selected vegetable; determining numbers and sizes of objects detected; dividing the area of interest into multiple cells; calculating the average object size per cell; and displaying results in the form of a map of the area of interest with colour or scale for each cell corresponding to the average size of object in the cell.

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