m using opencv with unity.there is an object following the movements of face detection circle on x,y,z axises.and i wanna prevent y,z axises and just move only for x axis here is the code;

void Start() { _camDistance = Vector3.Distance(Camera.main.transform.position, transform.position); } void Update() { if (OpenCVFaceDetection.NormalizedFacePositions.Count == 0) return; transform.position = Camera.main.ViewportToWorldPoint(new Vector3( OpenCVFaceDetection.NormalizedFacePositions[0].x, OpenCVFaceDetection.NormalizedFacePositions[0].x, OpenCVFaceDetection.NormalizedFacePositions[0].x)); } //////////////////////////////////////////////////////////////////////////////////////////// here is the opencv using System.Collections; using System.Collections.Generic; using System.Runtime.InteropServices; using UnityEngine;

public class OpenCVFaceDetection : MonoBehaviour {

 public static List<Vector3> NormalizedFacePositions { get; private set; }
 public static Vector2 CameraResolution;

 public float DepthDevider = 10f;
 public float DepthAdder = 10f;

 private const int DetectionDownScale = 1;

 private bool _ready;
 private int _maxFaceDetectCount = 5;
 private CvCircle[] _faces;

 void Start()
 {
     int camWidth = 0, camHeight = 0;
     int result = OpenCVInterop.Init(ref camWidth, ref camHeight);
     if (result < 0)
     {
         if (result == -1)
         {
             Debug.LogWarningFormat("[{0}] Failed to find cascades definition.", GetType());
         }
         else if (result == -2)
         {
             Debug.LogWarningFormat("[{0}] Failed to open camera stream.", GetType());
         }

         return;
     }

     CameraResolution = new Vector2(camWidth, camHeight);
     _faces = new CvCircle[_maxFaceDetectCount];
     NormalizedFacePositions = new List<Vector3>();
     OpenCVInterop.SetScale(DetectionDownScale);
     _ready = true;
 }

 void OnApplicationQuit()
 {
     if (_ready)
     {
         OpenCVInterop.Close();
     }
 }

 void Update()

 {
     if (!_ready)
         return;

     int detectedFaceCount = 0;
     unsafe
     {
         fixed (CvCircle* outFaces = _faces)
         {
             OpenCVInterop.Detect(outFaces, _maxFaceDetectCount, ref detectedFaceCount);
         }
     }

     NormalizedFacePositions.Clear();
     for (int i = 0; i < detectedFaceCount; i++)
     {
         NormalizedFacePositions.Add(new Vector3((_faces[i].X * DetectionDownScale) / CameraResolution.x, 1f - ((_faces[i].Y * DetectionDownScale) / CameraResolution.y), 1f - (_faces[i].Radius*DetectionDownScale)/DepthDevider + DepthAdder));
     }
 }

}

internal static class OpenCVInterop { [DllImport("OpenCVThomasPart2Try1")] internal static extern int Init(ref int outCameraWidth, ref int outCameraHeight);

 [DllImport("OpenCVThomasPart2Try1")]
 internal static extern int Close();

 [DllImport("OpenCVThomasPart2Try1")]
 internal static extern int SetScale(int downscale);

 [DllImport("OpenCVThomasPart2Try1")]
 internal unsafe static extern void Detect(CvCircle* outFaces, int maxOutFacesCount, ref int outDetectedFacesCount);

}

[StructLayout(LayoutKind.Sequential, Size = 12)] public struct CvCircle { public int X, Y, Radius; }