# time-lapse Published articles for time-lapse. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Seasons time-lapse - the video DevFeed: [Seasons time-lapse - the video]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-06-07T00:00:00Z Content type: tutorial Language: en Sources: [Nicolas Fränkel]() Topics: [Image](), [Code](), [DateTime]() Tags: [art](), [cameras](), [code](), [development](), [images](), [information](), [location](), [metrics](), [model](), [pipeline](), [pixel](), [project](), [python](), [rotation](), [screen](), [speed](), [time-lapse](), [video]() ### AI overview The third and final post in a series explains how the author creates a time-lapse video from photographs taken from the same position over multiple years. It discusses ordering images by day of year and time of day, using EXIF metadata, and practical observations about video generation. ### Source excerpt In the first post of this series, I focused on the project foundations: what should I do to create a video from photos taken from the same position year after year? I dedicated the second part to aligning images. It wasn't as easy as I expected. I stumbled upon new concepts, such as ORB and RANSAC. In this third and final post, I want to tackle the video creation itself, explain some 'artistic' decisions, and leave the door open to future work. ## Seasons time-lapse - alignment DevFeed: [Seasons time-lapse - alignment]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-05-24T00:00:00Z Content type: tutorial Language: en Sources: [Nicolas Fränkel]() Topics: [Computer vision](), [OpenCV](), [image distortion](), [Algorithms]() Tags: [algorithm](), [algorithms](), [art](), [camera](), [computer-vision](), [development](), [iphone](), [open-source](), [python](), [time-lapse](), [transformation]() ### AI overview This article explains how the Seasons time-lapse project aligns photographs taken from slightly different viewpoints and with different phone cameras. It describes using OpenCV feature matching with ORB, followed by RANSAC and a homography to estimate the geometric transformation. ### Source excerpt In the previous post, I described the Seasons project: a time-lapse of hundreds of pictures taken from nearly the same viewpoint over the years. The hardest challenge wasn't taking the pictures or assembling them, but aligning them. You might have noticed the nearly part about viewpoint in the above paragraph. Indeed, it's an approximation. I'm a human being, not a tripod. The position changes ever so slightly, and so does the exact angle. ## Seasons time-lapse - the foundations DevFeed: [Seasons time-lapse - the foundations]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-05-17T00:00:00Z Content type: article Language: en Sources: [Nicolas Fränkel]() Topics: [Python](), [OpenCV](), [Vibe coding](), [Inference]() Tags: [art](), [development](), [image](), [llm](), [photos](), [python](), [technical](), [time](), [time-lapse](), [video]() ### AI overview This article introduces a multi-part retrospective on building a seasons time-lapse video from photographs taken over several years. It describes using an LLM-assisted workflow, choosing Python, and designing a typed, tested image-processing pipeline that inventories, filters, aligns, and orders photos. ### Source excerpt I live close to nature. I regularly go for a run in the countryside. Over several years, during my runs, I've taken pictures from the same position, always roughly the same angle. I had a vague idea in the back of my mind, as an 'artistic' project. One day, I'd turn those photos into a time-lapse video, one that would show the passage of seasons across a single place. Spoiler, here's the work in progress: However, I knew that this project would take ages.