AirSLAM introduces a hybrid visual SLAM approach that integrates deep learning for feature detection with traditional backend optimization. Key highlights: Unified Feature Extraction: Employs a convolutional neural network (CNN) to simultaneously extract keypoints and structural lines, enhancing feature richness. Coupled Feature Optimization: Associates, matches, triangulates, and optimizes point and line features in a unified framework,…
Fast3R breaks the pairwise bottleneck in multi-view 3D reconstruction. Building on DUSt3R, it introduces a transformer-based architecture that directly regresses dense 3D pointmaps from unposed, unordered RGB images-processing 1000+ views in a single forward pass. Key Highlights: Feedforward Multi-View Reconstruction – Eliminates the need for pairwise processing and global alignment. Predicts local and global 3D…
Imperial College London unveils MASt3R-SLAM: a cutting-edge monocular dense SLAM system built on the revolutionary MASt3R two-view 3D reconstruction prior, delivering unmatched real-time accuracy and global consistency. Key Highlights: Two-View 3D Priors: Leverages MASt3R’s pointmap predictions and per-pixel feature confidences, addressing key challenges in pose estimation and dense geometry reconstruction from video frames. Real-Time Performance:…
Imagine you’re using an AI writing assistant to draft an email. It’s excellent at creating clear and concise text, but you need the email to reference specific updates from a recent team meeting and attach a relevant report. While the assistant is impressive in crafting polished content, it falters when accessing real-time context, like your…
Creating a product is not just about software; hardware plays a crucial role as well. Specifically, in computer vision, we need compact edge hardware to deploy our object detection models or algorithms. Edge devices are computing hardware positioned at the periphery of networks, close to data sources and end users. These devices reduce latency and…
Image cropping is a fundamental operation in image processing that involves selecting a specific region of interest (ROI) from an image and discarding the rest. This technique is widely used in various applications, such as object detection, face recognition, and image enhancement. OpenCV, a powerful open-source computer vision library, provides efficient methods for cropping images…
Accessing and manipulating pixels is the most fundamental step in image processing. Every image is made up of tiny elements called pixels, and modifying these pixels allows us to perform a wide range of operations, from simple adjustments to complex transformations. While techniques like brightness and contrast enhancement, applying filters, or edge detection are considered…
Introduction Imagine a world where hospital diagnoses are faster and more accurate, cars drive themselves through congested streets, and your favorite online store suggests what you need before you even think to search for it. That’s the transformative power of Artificial Intelligence (AI)—no longer a buzzword but a game-changer across healthcare, finance, retail, and beyond.…
OpenMV has been creating award-winning low-cost, extensible, machine vision modules for years now, and this week they’ve just launched a new Kickstarter campaign to fund two more amazingly tiny, amazingly powerful, devices. We’re so excited about them we invited CEO and Co-Founder Kwabena Agyeman to be the first guest on our new podcast, entitled OpenCV In Conversation.…
Artificial Intelligence (AI) has been at the forefront of technological innovation, continually reshaping industries and redefining productivity. One of the most groundbreaking advancements in this space is Manus AI, an autonomous AI agent developed by the Chinese startup Monica. Launched on March 6, 2025, Manus AI is poised to transform how we interact with technology…