Published
Edited
Dec 1, 2020
2 forks
5 stars
Also listed in…
Computer Graphics
Insert cell
Insert cell
Insert cell
Insert cell
mutable autorot = true
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
carp = loadMesh(await FileAttachment("carp_fish.obj").text())
Insert cell
Insert cell
// The object being shown at the moment
mutable obj = carp
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
function loadMesh (objfile) {
let model = parseObj(objfile);
let vtxIndex = new Map();
let cells = model.faces;
let positions = centralize(model.pos,3);
return {cells,positions}
}
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
view = mat4.lookAt([],[0,0,5],[0,0,0],[0,1,0])
Insert cell
projection = mat4.perspective ([], 40 * Math.PI/180, 1, 0.01, 100)
Insert cell
model = mat4.identity([])
Insert cell
Insert cell
draw = {
computeFaceNormals(obj);
computeEdges(obj);
let triMesh = triangleMesh(obj);
let drawFaces = makeTriMeshDraw(triMesh);
let drawEdges = makeMeshEdgeDraw(obj);
for (let frame = 0; ;frame++) {
regl.clear({
color: [0.8, 0.8, 1.0, 1],
depth: 1
})
if (mutable autorot) {
mat4.rotateY(model,model,Math.PI/180*0.5);
mat4.rotateX(model,model,Math.PI/180*0.2);
}

let conf = {modelview:mat4.mul([],view,model),
projection:projection};
drawFaces(conf);
drawEdges(conf)
yield frame;
}
}
Insert cell
Insert cell
Insert cell
// @returns the subdivision of an input mesh
// @param positions - array of points, each a 3-coordinate array
// @param faces - array of face circulations, each an array with n indices of positions
// @param catmull - if true, perform catmull-clarks subdivision, otherwise, regular (flat) subdivision
subdivide = function (positions,faces, catmull = true) {
let ds = HalfedgeDS.fromFaces(faces);
// Function to sum an array of points
let sum = pts => pts.reduce((p,q) => [p[0]+q[0],p[1]+q[1],p[2]+q[2]]);
// Function to average an array of points
let avg = pts => {
return sum(pts).map (x => x / pts.length);
}
// Multiplies all elements of v by s
let scale = (v,s) => v.map(x => x * s);
// Build face midpoints
let facePoints = ds.face.map(
(he,iface) => avg ([...ds.faceCirculator(iface)].map(he => positions[he.v]))
);
// Function to map an edge (a halfedge and its twin) to the edge midpoint
let edgeToMidpoint = (he,twin) => avg([positions[he.v],positions[twin.v]]);
// Function to map an edge to its catmull-clark new position, which takes
// into account the neighboring center points of neighbor points
let edgeToSubdivisionPoint =
(he,twin) => avg([positions[he.v],positions[twin.v],facePoints[he.f],facePoints[twin.f]]);
// Compute all edge points
let edgePoints = [];
let edgeMidPoints = []
ds.halfedge.forEach (
he => {
let twin = ds.halfedge[he.twin]
if (he.v < twin.v) { // Process each edge only once
he.iEdgePoint = twin.iEdgePoint = edgePoints.length;
let midpoint = edgeToMidpoint(he,twin)
edgeMidPoints.push (midpoint)
if (catmull) edgePoints.push (edgeToSubdivisionPoint(he,twin));
else edgePoints.push(midpoint)
}
});
// Compute the new position of vertex v in a Catmull-Clark subdivision
let newPosition = ivertex => {
let incidentHalfedges = [...ds.vertexCirculator(ivertex)];
let incidentFacePoints = incidentHalfedges.map(he=>facePoints[he.f]);
let incidentEdgePoints = incidentHalfedges.map(he=>edgeMidPoints[he.iEdgePoint]);
if (ivertex==0) console.log (incidentHalfedges, incidentFacePoints, incidentEdgePoints)
let n = incidentHalfedges.length;
return sum ([scale(positions[ivertex], (n-3)/n),
scale(avg(incidentFacePoints), 1/n),
scale(avg(incidentEdgePoints), 2/n)])
}
// Array with the new positions of the original vertices
let newPositions = (catmull ? positions.map((d,i) => newPosition(i)) : positions);

// Compute the new face circulations
let n = positions.length;
let m = edgePoints.length;
newPositions = newPositions.concat(edgePoints).concat(facePoints);
let newFaces = [];
ds.face.forEach((he,i) => {
let edgeIndices = []
for (let he of ds.faceCirculator(i)) edgeIndices.push(he.iEdgePoint+n, he.v,);
let ne = edgeIndices.length;
for (let k = 0; k < edgeIndices.length; k+= 2) {
newFaces.push([i+n+m,edgeIndices[k],edgeIndices[(k+1)%ne],edgeIndices[(k+2)%ne]]);
}
})
return {positions:newPositions, cells:newFaces}
}
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
import {tabbed,paged,combo} from "@esperanc/aggregated-inputs"
Insert cell
import {select,checkbox,button} from "@jashkenas/inputs"
Insert cell
createRegl = require('regl@1.4.2/dist/regl.js')
Insert cell
regl = createRegl(canvas)
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more