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5 jul 2022 — In this work, we propose an approach for utility pole recognition in real conditions based on color, shape and photometric stereo vision, by de JL Ramírez-Arias Ph D · 2020 · Citado por 5 — 2) Images Edges Detection. The image obtained in the previous step can be represented as a discrete function in 2D, which is defined by the coordinates of each 27 ago 2022 — PDF/Epub Arokia P Object Detection by Stereo Vision Images 2022 areas of object detection and recognition of digital images and videos, de LC Altamirano Robles · 2003 — conjunction with the eigenspaces technique for object recognition, producing a more efficient hybrid Patch detection was employed in (Nelson and. 5 jul 2022 — Ground target detection, recognition and tracking play critical roles in aerial video surveillance applications. A ground moving target de DC Piñol · 2019 · Citado por 3 — Manual detection requires high concentration due to the images object recognition for x-ray baggage security screening using primed. de RM Anwer — Palabras clave: Computer vision ; Object recognition The deformable part based framework is currently the most successful approach for object detection.de R Zhao · Citado por 74 — This paper presents a novel method to optimise CNN-based object detection algorithms targeting embedded. FPGA platforms. Given parameterised CNN hardware Develop an object detection system using YOLO neural-network-based model, capable of recognizing typical objects present on a driving session, such as cars, 4 jun 2021 — Object recognition and tracking for surveillance applications using deep learning techniques. Tesis (Doctoral), E.T.S.I. Telecomunicación