opencv - 在标记识别中调整 aruco 检测参数

Question

我有两张照片真的很像这个被正确识别为 5x5_250 字典的标记 209

虽然这另一个非常相似但无法识别，它是同一个 5x5_250 字典的标记 207:

而且标记 207 在另一张照片中被识别出来了:

我试过更改检测器参数中的某些内容

params->adaptiveThreshWinSizeMin = 4;
params->adaptiveThreshWinSizeMax = 26;
params->adaptiveThreshWinSizeStep = 2;
params->minMarkerPerimeterRate = 0.01;
params->maxMarkerPerimeterRate = 4;
params->polygonalApproxAccuracyRate = 0.1;
params->perspectiveRemovePixelPerCell = 10;

但似乎没有任何变化所以我回到默认值，所以我的问题是:

1. 标记周围必须有白色边框吗？
2. 为什么在第二张照片中没有识别出标记 207？谢谢

Answer 1

ArUco 标记周围的白色边框是必需的，因为 ArUco 标记检测的第一步是检测角点。有关引用，请参阅 page 4 of the documentation of the ArUco library .

不幸的是，切断标记周围所谓的“安静区域”是一个常见问题。将来，打印带有额外角的标记可能会有所帮助，如下所示:

要生成角点，请运行此代码段并将图像拖放到指定位置。然后右键单击并“将图像另存为...”。

var canvas = document.getElementById("myCanvas");
var context = canvas.getContext("2d");
var theImage = null;

function redraw(){
    if (!theImage){
        context.font = "30px Arial";
        context.fillStyle = "black";
        context.fillText("Drag & Drop image here.", 10, 40);
        return;
    }
    
    var width = theImage.width;
    var height = theImage.height;
    
    var nTiles = 8;
    var padding = 3;
    var cornerLength = 4;
    var dx = width / nTiles;
    var dy = height / nTiles;
    
    canvas.width = 2 * padding * dx + width;
    canvas.height = 2 * padding * dy + height;
    
    // clear background
    context.fillStyle = "#ffffff";
    context.fillRect(0, 0, canvas.width, canvas.height);
    
    // draw corners
    context.fillStyle = "#000000";
    context.fillRect(0, 0, dx, dy * cornerLength);
    context.fillRect(0, 0, cornerLength * dx, dy);
    context.fillRect(canvas.width - dx, canvas.height - dy * cornerLength, dx, dy * cornerLength);
    context.fillRect(canvas.width - cornerLength * dx, canvas.height - dy, cornerLength * dx, dy);
    context.fillRect(canvas.width - dx, 0, dx, dy * cornerLength);
    context.fillRect(canvas.width - cornerLength * dx, 0, dx * cornerLength, dy);
    context.fillRect(0, canvas.height - dy * cornerLength, dx, dy * cornerLength);
    context.fillRect(0, canvas.height - dy, cornerLength * dx, dy);
    
    // draw image
    context.drawImage(theImage, padding * dx, padding * dy);
}

redraw();

function handleFile(file){
    var reader = new FileReader();
    reader.onload = function(){
        var image = new Image();
        image.src = this.result;
        image.onload = function(){
            theImage = image;
            redraw();
        }
    }
    reader.readAsDataURL(file);
}

canvas.addEventListener("dragover", function(e){
    e.preventDefault()
    e.stopPropagation()
})

canvas.addEventListener("drop", function(e){
    var files = e.dataTransfer.files;
    for (var i = 0; i < files.length; i++){
        handleFile(files[i]);
    }
    e.preventDefault()
    e.stopPropagation()
})

<canvas id="myCanvas" width="512" height="512"></canvas>