Gavin Schrock
Consulting Editor and Land Surveyor
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To say that the marketplace for commercial aerial images has expanded would be an understatement. Now, many providers are also offering value-added services, such as 3D modelling, volumes, and property/structure reports. When I interviewed the then CEO of EagleView for the April 2015 issue of xyHt Magazine (https://lnkd.in/gc6cQ9n6), they were already providing many such services. What has happened in the years since? Quite a bit. Read my interview of the current EagleView CEO, Piers Dormeyer where we discuss the latest trends and the increasing role of AI in the sector. 2024 Update: https://lnkd.in/gH9hH9PA#aerialimaging #aerialmapping #obliqueimaging #3Dmodelling
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Matt Sheehan
Strategic Growth Leader | Product. Partnerships. Sales. Marketing | Simplifying Complex Innovation for Business Success
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𝐓𝐡𝐢𝐬 𝐢𝐬 𝐜𝐫𝐚𝐳𝐲: 𝐓𝐮𝐫𝐧 𝐘𝐨𝐮𝐫 𝐏𝐡𝐨𝐭𝐨𝐬 𝐢𝐧𝐭𝐨 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞 𝟑𝐃 𝐰𝐢𝐭𝐡 𝐍𝐞𝐑𝐅 𝐚𝐧𝐝 𝐀𝐈!Upload 10 images to Luma Labs' GenerativeAI and create your first NeRF capture. See the video below of Corsewall Lighthouse for an incredible example.Ever wondered what it'd be like to step inside a photograph? With Neural Radiance Fields (NeRF) technology, we're not far off! This AI-powered 3D reconstruction method is revolutionizing how we capture and experience our world.Here's why this matters for the geospatial industry:- Unprecedented detail: NeRF captures create incredibly accurate 3D models from just a handful of 2D images.- Cost-effective: No need for expensive LiDAR equipment for many applications.- Accessibility: With platforms like Luma AI, anyone can create professional-grade 3D captures.Imagine the possibilities:- Virtual tourism experiences- Detailed architectural preservation- Immersive real estate tours- Enhanced urban planning and digital twin creationBut here's the challenge: While creating these 3D wonders is becoming easier, effectively leveraging them for business growth remains complex. That's where we come in.At GenAI Marketers, we're at the forefront of translating cutting-edge tech like NeRF into compelling business narratives. We help geospatial firms:- Craft go-to-market strategies that highlight the unique value of 3D capture tech- Generate engaging content that showcases the power of NeRF to potential clients- Develop sales enablement tools that make complex tech accessible to decision-makersReady to turn your 3D captures into business opportunities? Let's chat about how to make your tech the talk of the industry!𝐖𝐚𝐧𝐭 𝐭𝐨 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡?Sign up for a free consultation: https://lnkd.in/gYhrCF-fDownload our eBook: "Your Complete Guide to Business Growth with Generative AI" https://lnkd.in/g6ztJAvwSubscribe to our newsletter - Stay Ahead with Generative AI Geospatial Insights: https://shorturl.at/Krexi#NeRFTechnology #3DCapture #GeospatialAI #AIInnovation
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Jordi Vallverdú Alcover
Founder | Computer Vision | 3D reconstruction expert | Deep Learning & Machine Learning
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See AlsoDennis Kirschner on LinkedIn: 😬 Microsoft’s latest blow should make even the most excited genAI fans… | 11 commentsAndrew Wallenstein on LinkedIn: #podcastsChatBlackGPT™ on LinkedIn: ChatBlackGPT™ is a vehicle of change, not a destination 🏁 Driving…Damjan Pernar on LinkedIn: Introducing the World’s First App that Harnesses the Combined Power of…🚁 Exploring New Frontiers in 3D Reconstruction with Depth-Anything V2 🚁I've been testing the newly released Depth-Anything V2 for single image depth estimation and the results are impressive! This model significantly improves upon V1, delivering more fine-grained details and robustness while being 10x faster. Depth-Anything V2 can process single images, videos, or streams in real-time, making it an incredible tool for various applications.In my latest project, I used a drone to capture a video around a church. The attached video showcases a side-by-side comparison of the RGB and depth outputs. The accuracy and efficiency of Depth-Anything V2 make it a game-changer for 3D reconstruction tasks.Key Highlights: ✅ Enhanced fine-grained details ✅ Increased robustness and efficiency ✅ Lightweight and faster than everCheck out the project page and GitHub repo here: https://lnkd.in/dBird8RJ#3DReconstruction #DepthEstimation #AI #MachineLearning #DronePhotography #CulturalHeritage #Catalunya
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BasicAI Inc
3,239 followers
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(SOTA)^2! A Unified Framework for Efficient Visual 3D Perception.#AutonomousDriving systems rely heavily on accurate 3D scene understanding to plan and navigate safely. Progress has been made in recent years in visual #3Ddetection via feature transformation, temporal fusion, and supervision signal design. However, detection focuses on objects and struggles with representing complete spatial occupancy. Meanwhile, occupancy prediction methods can represent geometry and semantics more comprehensively but less efficiently. Exploring the interplay between detection and occupancy prediction could lead to unified, efficient #3Dperception. But ensuring shared representation and architecture has proven challenging.Today we want to highlight a 2024 paper "#UniVision " that proposes an elegantly simple and efficient unified vision-centric framework for 3D perception, jointly tackling detection and occupancy tasks. A key contribution is an explicit-implicit view transform module combining depth-guided lifting and query-guided sampling to simplify 2D-3D feature transformation. It proposes a specialized module for extracting, enhancing, and fusing localized voxel features and global #BEV representations adaptively. Training stability and efficiency are improved through joint occupancy-detection #dataaugmentation and progressive loss weighting. Experiments across four benchmarks including #nuScenes LiDAR segmentation, nuScenes detection, OpenOccupancy, and Occ3D demonstrate UniVision achieves state-of-the-art performance. https://lnkd.in/gwC_rqAmThis unified design significantly improves model generalization and enables vision-based systems to handle complex driving scenes previously challenging for camera-only systems. By extending the multi-task capabilities, UniVision paves the road for vision systems to perform various critical functionalities end-to-end. UniVision represents convincing strides towards accurate and efficient 3D scene comprehension from more readily available #visualdata .#ML #mlalgorithm #deeplearning #artificialintelligence #datatraining #innovation #technology #perception #dataannotation #AI #autonomousdriving #computervision #groundtruth #dataset #machinelearning
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RoadGauge Ltd
306 followers
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RoadGauge AI can save up to 50% of your annual road inspection costs. All we needs is a video of the road surface from a GoPro or RoadScape 3D, our specialised hardware. RoadGauge’s patent pending technology then accurately measures distress sizes, produces transverse and longitudinal road profiles, and plots the GPS locations of distresses on Google Map. ⏹ Fully automated detection, dimensional measurement, visualisation, and mapping of distresses.⏹ Visualisation of longitudinal and transverse road profiles.⏹ Lengths, widths, depths, perimeter, and other linear measurements at ±3 mm accuracy; area at 10 mm2 accuracy.⏹ Own your hardware: buy a GoPro or a RoadScape 3D – our powerful road inspection system designed for high-speed, high-volume road surveys (read the Skan3D brochure)⏹ Directly obtain road condition index (RCI) and pavement condition index (PCI)#pavements #highways #roadinspection #ai #3D #computervision
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Josip R.
Maximize underwater asset potential. Let’s dive in.
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Underwater inspections of quay walls can be challenging but also it can be stunning, unique and AI ready.Our underwater 3D models are both stunning and unique and can provide you opportunity to better understand structure when water is drained out. When in need of a reliable underwater inspection service, it's imperative to inquire about the provider's portfolio. If portfolio is missing, consider carefully do you need such provider.
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Arzu Celik
Director, Founder @Azul Creative Mds - AI, Creative Industries, Game Design and Emerging Technologies
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Learn with me how to generate 3D mesh characters from single 2D images!This tutorial teaches you how to utilize AI to generate a 3D mesh model from a concept image. Explore the cutting-edge method for turning 2D images into 3D character models with SF3D, incorporating UV-unwrapping and illumination disentanglement for high-quality results.
SF3D: A State-of-the-Art Method for Turning 2D Images into 3D Character Models with AI Technology https://www.youtube.com/
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AIWorldVision RMJDigi
I love You Artificial Inteligence...
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Introducing ; TripoSR: Speedy 3D Object Generation, from a lone Image
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Morris Lee
Computer Vision Consultant - available to help your R&D! Have 66+ patents. 37+ years experience in artificial intelligence and hitech technologies. Passionate about using the latest advancements to improve your business.
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Get 3D scene using Segment Anything Model and spherical gradient refinement with SD-MVSSD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimizationarXiv paper abstract https://lnkd.in/eBzbbv2rarXiv PDF paper https://lnkd.in/ehFQeFvB... introduce Segmentation-Driven Deformation Multi-View Stereo (SD-MVS), a method that can effectively tackle challenges in 3D reconstruction of textureless areas.... adopt the Segment Anything Model (SAM) to distinguish semantic instances in scenes and further leverage these constraints for pixelwise patch deformation on both matching cost and propagation.... propose ... refinement ... that combines spherical coordinates and gradient descent on normals and pixelwise search interval on depths ... improving the completeness of reconstructed 3D model.... adopt the Expectation-Maximization (EM) algorithm to alternately optimize the aggregate matching cost and hyperparameters ... mitigating the problem of parameters being excessively dependent on empirical tuning.... method can achieve state-of-the-art results with less time consumption.Please like and share this post if you enjoyed it using the buttons at the bottom!Stay up to date. Subscribe to my posts https://lnkd.in/emCkRuAWeb site with my other posts by category https://lnkd.in/enY7VpM LinkedIn https://lnkd.in/ehrfPYQ6 #ComputerVision #3D #AINewsClips#AI#ML#ArtificialIntelligence#MachineLearning
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Holger Prang
Digital Future for Cites and Communities
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is video-2-video (similar to the known style-transfer technique) the future of rendering? I think yes. neural computing is eating up the software 1.0 stack.
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