Ich habe eine Reihe von(x, y, z) Punkte, für die ich das Flugzeug finden muss, das am besten zu ihnen passt. Eine Ebene wird durch ihre Koeffizienten definiert als:

a*x + b*y + c*z + d = 0

oder äquivalent

A*X +B*y + C = z

Die zweite Gleichung ist nur ein Umschreiben der ersten.

Ich benutze die entwickelte Methodein diesem gist, das ist eine Übersetzung in Python aus dem Matlab-Code indiese Antwort. Die Methode ermittelt die Koeffizienten, um die Ebenengleichung zu definieren, die am besten zur Punktmenge passt.

Das Problem ist, dass ich in der Lage bin, eine Reihe von Koeffizienten zu finden, die ein @ gibesser passen zu diesem Satz von Punkten.

Um "besser" zu definieren, berechne ich die Summe der absoluten Abstände jedes Punktes zur angegebenen Ebene nach der angegebenen MathematikHie. Ein kleinerer Wert bedeutet eine "bessere" Anpassung, da die Punkte dann im Durchschnitt näher an der Ebene liegen.

The MWE ist unten. Wie zu sehen ist, ergeben die handverlesenen Koeffizienten eine kleinere Summe absoluter Abstandswerte ~155.89), als unter Verwendung der "besten" Koeffizienten, die durch das oben beschriebene Verfahren gefunden wurden ~158.78).

Was fehle ich hier?

MWE

import numpy as np
import scipy.linalg


def sum_dist_2_plane(x, y, z, a, b, c, d):
    """
    Sum of the absolute values of the distances to a plane, given by the
    a,b,c,d coefficients, for the set of points defined by x,y,z.
    """
    return np.sum(abs(a*x + b*y + c*z + d)/np.sqrt(a**2+b**2+c**2), axis=0)


# Some xyz points.
xyz = np.array([[1.1724546888698482, 0.67037911349217505, 1.6014525241637045], [2.0029440384631063, 1.2163076402918147, -1.1082409593302032], [-0.87863180025363918, 1.261853987259635, 1.1598532675831237], [0.42789396045777467, 0.67325845732274703, 1.1421266649135475], [1.366142552248496, 1.0959456367043121, -1.6046393305927751], [-2.1595534005011485, -2.2582441035518794, -1.0663372184011806], [2.1104543583371633, -2.3711560770628917, 0.33077589412150843], [1.1974640975387107, 1.2100068141421523, 0.71395322259985505], [0.44492797840962123, 0.51098686422493145, 0.23383900276620295], [-2.0810094204638281, -2.11327958929372, -1.0758230448163033], [1.1655230345226737, 2.3777304002844968, -1.5663228128649394], [0.90952208156596781, 0.84978064084217519, 1.5986081506274985], [1.2951624720758836, 1.2231899029278033, 1.6154291293114866], [0.97545563477882025, 1.1844143994262264, 0.25292733170194026], [2.0281659385206012, 1.3370146330231019, 1.1961575550766028], [-1.9843445684092424, -0.012247402159192651, -2.0732736152121092], [1.0852175044560746, 1.8083916604163963, 0.27402181385868829], [-0.97983337631837208, 1.1032503818628847, 1.1579341604311182], [2.5033961310304029, 1.5628354191569325, -0.60785250636200061], [0.84123393662217383, 1.6169587554844618, -0.66116704633280676], [-1.8572657771039134, 0.043103553120073364, -2.0779545355975415], [2.6979128603518787, 1.70987170366249, -0.59306759275995091], [1.898614831265683, -2.9411794973775129, 1.7095862940118209], [0.81052668401212824, 0.89107411631439926, 1.597589407046101], [-2.0466083174114331, 0.14841369250699468, -1.120794708199135], [2.7004384737959648, 1.3616954868011328, 1.2294957766312749], [2.5373220833750385, 1.7067484497548233, 0.32345763726774379], [0.42025310188487158, 0.25762913945011717, -2.5899822318304473], [1.0425582222020597, 1.2902156453507225, 1.1638276333984123], [1.8492329386150801, 1.369745208770941, -1.1101559957041474], [-1.9685282554587256, -0.053725287173628226, 0.26827797508054374], [2.1798881190450285, 1.2454661605758286, -1.5732113885771071], [2.097212096433736, -2.9271738140601462, -0.56568133063870363], [-4.0108387171254396, -0.95559594599890008, 1.7588521192455815], [1.1558287640906737, 0.84330421357278096, 1.1565989504480143], [-2.9571643443632118, -2.847346163285049, 1.3087401683271338], [1.8592900784537116, 1.3952561066549967, 0.28365423946831214], [-3.4841441062982867, -3.0501496018162109, -0.48161393173162992], [2.5524429115550777, 0.62723764313314334, 0.29882336571990464], [2.2267279436912251, -3.8561674586606758, 1.3393813829669483], [2.1214758016437449, -0.20203416631090113, -1.5903243997743601], [0.14882165322179747, 0.4127883227210779, 0.23115527212661391], [1.2042041122995621, 1.2013226392201846, -0.2014020012510187], [-0.91807770884292583, 1.1176994160488214, -2.5723612427329385], [1.910565457302241, 1.1857852625952567, -1.5853233609652335], [1.0660312416826301, 1.3594393638452948, 0.71483235729161265], [0.65109075860726373, 0.58395151990229632, 1.590486638605114], [2.0967121651174518, 3.5121496638531586, 0.85481080660772335], [1.1484000297535542, 0.93256813649663772, 0.25125672956252743], [-1.7670514601312102, 0.17479726844255272, 0.26097336908379276], [-0.38814151285133675, -1.36837872393391, -2.0916940966530149], [1.5825758742579219, -0.34854211056693962, 0.2556641250097158], [2.586881293405797, -4.371974479474976, -2.3458559556297445], [0.22496107684878977, 0.26917053206799602, -0.69280100767942088], [-0.92198332953292639, 5.3103622894708327, 1.4344469946544294], [1.5669967464035819, -0.13527817891479368, 1.6081806927677107], [-0.56872000311273319, -1.9823395333139691, -2.5517609300755879], [-3.7708737466313824, -3.2863308845331081, 1.3928734104180975], [0.26086111146896701, 0.91063726352187491, -2.1025221562973897], [4.3490818342473947, 1.7969605233982313, -0.94470942930075807], [0.8202509554992351, 1.6178074457637883, -0.66148472916848533], [-1.5947972211483237, 0.18933818654144918, -0.20453683465790107], [0.9736103155058905, 1.4905334895713331, -2.0806647444063202], [1.2838541958241105, 2.0842224244281931, -0.17045822168000058], [3.7985716232291624, 2.5292902540646183, -0.022070946178700979], [1.175697191763003, 0.70063646974704663, 0.24808027552254686], [1.7834118390535998, 1.2937296781793448, -0.1818232448888395], [1.1281441478154344, 0.89641394438231292, 1.6040641573676311], [-2.0118889302553362, 2.7916846393274373, -0.57683324778643197], [-0.5995803308341846, -2.2434949940054554, 0.2835440401850704], [0.32077033536702831, -0.95844872063257081, -1.6245015133016167], [0.81357199339193753, 1.5540883407880133, -0.19956720143058249], [0.62611590692268004, 2.5129849486626958, -0.62767513959140331], [1.3018663649626585, 0.92514176013041427, 0.71042211390030729], [-0.72715254964437737, -2.3705643250823436, -0.63320562968051775], [1.9172742234794142, -2.8680592171367834, -1.9965843559235594], [-0.7108415762295921, -2.2783943434144658, -0.63767826146936812], [1.968546542650037, -2.8305910089272146, -0.11154135958968681], [-3.1492524087194655, -2.8503098024243823, -0.049957063615551078], [-4.0600431110777313, -0.97891479243488955, -0.055962425569617835], [-3.3752702254780629, 5.7587998072406652, 2.0459797674238658], [-1.9855135921592455, 2.7466682542750638, -0.58034791274582886], [2.033073141968945, 1.5208650449610079, -0.16592183863411947], [-1.0379089220195949, -4.7336396164389383, 0.0045652508195388464], [0.059579198580756186, 0.50654688886459498, -0.69144595015375643], [2.1785293390435458, -2.67576518666927, -2.4787451249989232], [2.1096278381494935, -0.41668256763302775, -2.5482230530414327], [2.898772426390924, 1.9762337520130302, 1.2619960149795091], [0.95620776766155502, 1.4639884373148864, -0.19976180368861662], [0.78751831482788348, 1.6888070662998231, -1.1280318812973462], [0.75574071441925506, -0.89893698883953688, -0.21651308186821439], [-0.26825101547751962, -3.4496728096007274, 1.7066486428460195], [1.6690385240329706, -0.49893224975237227, -0.66401176702524367], [-0.28877792353045606, 1.5139628395303639, 0.25314013342428154], [0.33435105972001761, 0.72567663189581422, -2.5862147225048417], [-0.29757422904759573, 1.5866751937867298, -0.6682501010682671], [2.7581055173587461, -3.973585217996157, 0.0036824743223959899], [-3.4344275379769509, -3.089933175898083, 0.44457796620464052], [-2.9394415977285413, -2.6122275577950083, 1.2944549102942418], [2.0038460695984823, 1.515512638618338, -1.5731231727332897], [2.206216953170296, 1.4688891052013793, -1.5661966567970254], [-1.035208468220836, 4.4666436487176657, 0.89858770640569929], [-2.0039938640838546, 0.24894412179006209, -1.1220951191237916], [-3.9104727661324539, -0.70689702779279451, 1.2978242803460915], [1.7290487193475563, 1.2850859351795931, -0.18395259620439219], [1.1198244545179541, 1.7335817969585154, -0.18776435816536718], [0.32239533364835676, 0.2896168073626299, -1.1602117002106667], [0.36649393980823192, 0.28244286109766281, -0.69190114531475189], [0.71629324271161154, 0.62574841994964003, 1.1448784055936088], [-0.65109499789331204, -1.3933343864454197, -2.0884024350786063], [0.97046822380567643, 1.5321191441287463, -0.19744980702830617], [-0.9585141324426697, 1.3494884330155692, 1.610936445675776], [0.9615111008482673, 2.4535668843530907, -1.0939899554364985], [-1.0667872216702354, 0.9585914740866075, 1.6038639420443772], [1.8021244106955299, 1.1320598433704154, 1.1820726259869971], [-0.060098920604716666, 0.46839599864404674, 2.0277692055269654], [0.1721690681247055, 0.33837718694053642, 1.137078044079125], [-1.5964760388322969, 0.29775223476696611, 1.1626558382504655], [2.233093222044507, -2.8349614127699461, 0.36052101139762271], [1.9257633093026034, -2.5325763598899247, -1.5360887301240496], [1.116293873468281, 0.82698434754975214, -2.5739062165349651], [1.1781306304855363, 0.67917370389645249, 1.6017135739225736], [-1.8600651472693519, 0.078727875114422086, 1.6184578422253679], [-1.43994317003447, 0.13431327308359137, 2.0472930703748276], [0.84521838040660946, 0.63970047924770745, -2.100345751420285], [1.7661749989776647, -0.37651847162651875, -2.0797840873592222], [0.83547092354865804, 1.7219104152802622, 0.2661115369175846], [1.8300570222025725, -0.28592323411250137, 1.6180934388285593], [-0.62076647836845089, -0.99191053757063119, -1.1486388713745725], [-1.6239006006253158, 0.41366361326031414, 0.2574990624750626], [0.89195815704237569, 2.2004172385784, -0.17400231396826626], [0.36791088305589931, 0.36096348396301231, -2.5897662606427687], [0.073648763901347059, 0.19675260582587464, -2.1107265203482299], [2.161140531872539, -2.842373820387067, 0.35775402140617274], [-2.0416416353442859, -4.4051625504298446, 0.0054589213454931951], [-2.0525396585901774, 3.6758248479033888, -2.4231570023949089], [-0.96441167578601306, -4.6667609706070516, -0.0032107139968431397], [-1.8689820843196163, 0.021432805852950151, 0.26440433366338567], [-0.15613351765730205, -1.0964152703770347, 1.5952653951331826], [-0.91084152695600051, 1.2388514346844914, 1.1598544561959656], [0.94699177145572266, 1.2276340276860185, 2.0505581774713733], [-0.8929399989505632, 1.2806485400811793, -0.20595242802870217], [1.2023125342023806, 2.3477287603163717, -1.5668539565738087], [1.1651535046949058, 1.3836371788871575, 0.26217241277176129], [-1.0929407572158512, 1.3887078738113698, -0.19910861560325088], [-0.76452840903206265, 1.4237410113821392, -1.6090659495628117], [-1.5594385646555604, 0.1455415355638911, 1.1607640518832483], [-0.59734981961340872, -1.2800366176149909, 1.6032259368271653], [1.2325774703556955, 0.80804053623212702, 0.25109224401040819], [1.177240124012167, 0.90163100927998241, -1.1405108476689563]])
x, y, z = xyz[:, 0], xyz[:, 1], xyz[:, 2]

# Best-fit linear plane, for the Eq: z = a*x + b*y + c.
# See: https://gist.github.com/amroamroamro/1db8d69b4b65e8bc66a6
A = np.c_[x, y, np.ones(xyz.shape[0])]
C, _, _, _ = scipy.linalg.lstsq(A, z)

# Coefficients in the form: a*x + b*y + c*z + d = 0.
a, b, c, d = C[0], C[1], -1., C[2]

# Sum of absolute distances of each point to this plane.
print sum_dist_2_plane(x, y, z, a, b, c, d)

# Hand-picked coefficients.
a, b, c, d = 0.28, -0.14, 0.95, 0.

# Sum of absolute distances of each point to this plane.
print sum_dist_2_plane(x, y, z, a, b, c, d)