Using structured light for efficient depth edge detection

Depth Edge Filtering Using Parameterized Structured Light Imaging

“…To the best of our knowledge, Park et al’s work [7] was the first of its kind. In our case, the controlled parameters are the minimum depth difference, $r_{min}$, a target range of distances, $\left[a_{min}, a_{max}\right]$, and the width of stripe, $w$.…”

“…In our case, the controlled parameters are the minimum depth difference, $r_{min}$, a target range of distances, $\left[a_{min}, a_{max}\right]$, and the width of stripe, $w$. The basic idea in [7] to detect depth edges is to exploit pattern offset along depth discontinuities. To detect depth discontinuities, they consecutively project a white light and structured light onto the scene and extract a binary pattern image by differencing the white light and structured light images.…”

“…A while ago, in [7,8], similar control of parameterizing structured light imaging was presented. They employed structured light with a pattern comprising black and white horizontal stripes of equal width, and detected depth edges with depth difference $r\ge r_{min}$ in a specified range of distances.…”

Parameterised structured light imaging for depth edge detection

“…Introduction: Recently in [1], we presented parameterised structured light imaging for detecting depth edges where structured light with a pattern comprising black and white stripes of equal width is employed. The parameters involved are 'detectable range of depth edges, [a min , a max ], from the projector/camera', 'width of horizontal stripes, w', and 'minimum detectable depth difference, r min '.…”

“…Depth edge detection: The basic idea in [1] to detect depth edges is to exploit distortion of patterns along depth discontinuities. To detect depth discontinuities, we consecutively project a white light and a structured light onto the scene and extract a binary pattern image by differencing the white light and structured light images.…”