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Efficient RGBD Cuboid Matching with Mixed Integer Programing for Global Optimal Solution

This research presents a linear approach for matching cuboids in RGBD images. By utilizing candidate proposals and context modeling with mixed integer programing, a global optimal solution is achieved within 10 seconds. The efficient algorithm covers key aspects like intersection, occlusion, and branch-and-bound, enabling precise rendering from multiple views.

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Efficient RGBD Cuboid Matching with Mixed Integer Programing for Global Optimal Solution

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  1. 3D Context Model Input RGB Image Input Depth Image Result Rendering from Different Views A Linear Approach to Matching Cuboids in RGBD Images. Jiang and Xiao, CVPR 2013.

  2. Candidate Proposals

  3. Context Model: Mixed IP UnaryCost Intersection Number Coverage Occlusion Branch and Bound Mixed Integer Programing Global Optimal Solution in 10 seconds (Code Available)

  4. Comparison RGBD Context RGB Individual

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