ImgToDrawingVideo
Technology Pipeline

How to Convert an Image to a Drawing Video

Unlike generative AI models that hallucinate distorted morphing frames, ImgToDrawingVideo uses deterministic computer vision and contour extraction to simulate authentic human sketching in real-time.

Phase 01

1. Median Filter Smoothing & Detail Preservation

When an image is loaded, raw pixels are converted to a grayscale luminance array. A 3x3 median filter is applied across the matrix. Unlike standard Gaussian blurs that smear sharp edges, our median filter preserves critical vector definitions like pupils, eyelashes, and text while scrubbing high-frequency sensor noise.

Phase 02

2. Sobel Edge Detection & Contour Tracing

Horizontal and vertical Sobel kernel matrices convolve over pixel values to compute gradient magnitude and direction. Pixels exceeding the user's customized threshold are marked as edge anchors, producing continuous vector contours for line art.

Phase 03

3. Connected Component Analysis & Stroke Ordering

To prevent erratic pen jumps, an 8-connectivity flood algorithm identifies discrete objects and shapes. The engine executes a greedy nearest-neighbor traversal to sequence strokes fluidly, allowing directional draw modes such as left-to-right, top-to-bottom, or center-out.

Phase 04

4. 60 FPS Canvas Animation & Video Encoding

The final timeline renders onto double-buffered HTML5 canvases with realistic hand and tool overlays. The browser's native MediaRecorder API captures the 60 FPS stream directly into an MP4 or WebM video file, ensuring zero upload latency and complete client-side data privacy.

Experience the Vector Engine in Action

Upload any picture and witness how real-time path tracing brings static art to life.

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