# Cant understand triangulatepoints 3d points results

**URL:** <https://forum.opencv.org/t/cant-understand-triangulatepoints-3d-points-results/9502>\
**Category:** Uncategorized\
**Tags:** triangulatepoints, calib3d, 3dreconstruction\
**Created:** [July 14, 2022, 11:44am UTC](https://forum.opencv.org/t/cant-understand-triangulatepoints-3d-points-results/9502 "2022-07-14T11:44:30Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Ali\_El\_habchi](https://sea2.discourse-cdn.com/flex020/user_avatar/forum.opencv.org/ali_el_habchi/32/5170_2.png) [@Ali\_El\_habchi](https://forum.opencv.org/u/Ali_El_habchi)\
**Post date:** [July 14, 2022, 11:44am UTC](https://forum.opencv.org/t/cant-understand-triangulatepoints-3d-points-results/9502/1 "2022-07-14T11:44:30Z")

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Hi everyone,  
I’m using opencv triangulatePoints to estimate 3d position of the matched keypoints between two images using the estimated Essential matrix, but when i try to visualise the resulted 3d points after converting them from homogeneous system, the 3d points are very far from the real world positions (or i can’t understand the results).  
To eliminate the camera parameters calibration issues, i used a scene on blender where i put objects and captured images and the camera intrinsic and extrinsic parameters, but still it gives me the same results.  
I checked also if it was the difference in coordinates axis between opencv and blender that gave the erros.  
The question is are two images enough to infer the 3d positions?